Inferring export orientation from corporate websites

This is an author's accepted manuscript of an article published in: “Applied Economics Letters"; Volume 21, Issue 7, 2014; copyright Taylor & Francis; available online at: http://dx.doi.org/10.1080/13504851.2013.872752The purpose of this article is to infer indicators about the export orientation of firms from the analysis of their corporate websites. Using a dataset of manufacturing firms, two logistic regressions were performed and compared: one considering some firm structural variables, and another considering some web-based variables. Results showed that the website features are good predictors of the export orientation of firms, performing as well as the classic economic variables.Blázquez Soriano, MD.; Doménech I De Soria, J. (2014). Inferring export orientation from corporate websites. Applied Economics Letters. 21(7):509-512. doi:10.1080/13504851.2013.872752S509512217Bonaccorsi, A. (1992). On the Relationship Between Firm Size and Export Intensity. Journal of International Business Studies, 23(4), 605-635. doi:10.1057/palgrave.jibs.8490280DA, Z., ENGELBERG, J., & GAO, P. (2011). In Search of Attention. The Journal of Finance, 66(5), 1461-1499. doi:10.1111/j.1540-6261.2011.01679.xDzielinski, M. (2012). Measuring economic uncertainty and its impact on the stock market. Finance Research Letters, 9(3), 167-175. doi:10.1016/j.frl.2011.10.003Freund, C. L., & Weinhold, D. (2004). The effect of the Internet on international trade. Journal of International Economics, 62(1), 171-189. doi:10.1016/s0022-1996(03)00059-xGirma, S., Greenaway, avid, & Kneller, R. (2004). Does Exporting Increase Productivity? A Microeconometric Analysis of Matched Firms. Review of International Economics, 12(5), 855-866. doi:10.1111/j.1467-9396.2004.00486.xLee, J., & Morrison, A. M. (2010). A comparative study of web site performance. Journal of Hospitality and Tourism Technology, 1(1), 50-67. doi:10.1108/17579881011023016Murphy, J., & Scharl, A. (2007). An investigation of global versus local online branding. International Marketing Review, 24(3), 297-312. doi:10.1108/02651330710755302Nassimbeni, G. (2001). Technology, innovation capacity, and the export attitude of small manufacturing firms: a logit/tobit model. Research Policy, 30(2), 245-262. doi:10.1016/s0048-7333(99)00114-6Preis, T., Reith, D., & Stanley, H. E. (2010). Complex dynamics of our economic life on different scales: insights from search engine query data. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368(1933), 5707-5719. doi:10.1098/rsta.2010.0284Spence, M. M. (2003). Small Business Economics, 20(1), 83-103. doi:10.1023/a:1020200621988Varian, H. R. (2010). Computer Mediated Transactions. American Economic Review, 100(2), 1-10. doi:10.1257/aer.100.2.1Wholey, J. S., & Hatry, H. P. (1992). The Case for Performance Monitoring. Public Administration Review, 52(6), 604. doi:10.2307/97717

Ahass-crm: Aplikasi Crm Berbasis Web Dalam Upaya Meningkatkan Pelayanan Service Post-purchase Kendaraan Bermotor Roda Dua Pada Bengkel Astra Honda Authorized Service Station (Ahass) 7689 Bam Cirebon

Internet salah satu media komunikasi memiliki peran penting untuk memberikan informasi yang cepat dan akurat. Selain itu, dapat diakses di mana saja dan kapan saja. Sebagian besar Perusahaan menggunakan hal ini untuk meningkatkan layanan mereka kepada pelanggan. Salah satu metode untuk meningkatkan layanan dengan menerapkan konsep Customer Relationship Management (CRM). Tujuan dari penelitian ini untuk mengembangkan aplikasi CRM berbasis web dan melakukan pengujian pada bengkel AHASS BAM 7689 Cirebon dalam upaya meningkatkan layanan purna jual kepada pelanggan. Metode yang digunakan dalam penelitian ini adalah Web Information System Development Methodology (WISDM) dan menggunakan batasan model post-purchase untuk mengembangkan aplikasi sesuai dengan kebutuhan. Penelitian ini menghasilkan aplikasi CRM berbasis web yang diberi nama AHASS-CRM dalam upaya meningkatkan layanan pelanggan di bengkel AHASS 7689 BAM Cirebon. Pengujian Blackbox dan UAT dilakukan untuk menguji aplikasi berbasis web pada sudut pandang teknis dan strategis. Berdasarkan uji Blackbox, hasilnya menunjukkan bahwa aplikasi bekerja secara keseluruhan sesuai dengan kebutuhan. Hasil skor User Acceptance Test (UAT) menunjukkan skor intrepretation adalah 75% yang berarti bahwa aplikasi dapat diterima dengan ketegori baik. Kata Kunci: Aplikasi berbasis web, CRM (Customer Relationship Management), Post-Purchase, Web Information System Development Methodology (WISDM), Blackbox, User Acceptance Test (UAT) ------------------------------------------------------------- Nowdays, the Internet plays important role for information exchange, so that it can be easily accessed anywhere and anytime. Most companies take this advantages to improve their services to the customers. One of the methods to increase the services is by implementing Customer Relationship Management (CRM). The purpose of this research is to develop a web based CRM application. This research also perform test at AHASS BAM 7689 workshop Cirebon in order to improve after sales services at the customer. The Web Information System Development Methodology (WISDM) is used to develop the application. However, the system is limited by post-purchase model in order to meet the requirements. This research has produce a web based application for improving customer AHASS 7689 BAM workshop in Cirebon. The blackbox test and User Acceptance Test (UAT) have succesfully conducted to test the application based on technical and strategical point of view. Based on Blackbox test, the result shows that the application meets all of the requirements.The UAT score shows the intrepretation score at 75%. This means the application can be accepted by AHASS\u27s customers for improving services. Keyword: Web Based Application, CRM (Customer Relationship Management), Post-Purchase, Web Information System Development Methodology (WISDM), Blackbox, User Acceptance Test (UAT)------------------------------------------------------------------DAFTAR PUSTAKA Afrina, M., & Ibrahim, A. (2014). Rancang Bangun Electronic Costumer Relationship Management (e-crm) Sebagai Sistem Informasi Dalam Peningkatan Layanan Perpustakaan Digital Fakultas Ilmu Komputer Unsri. Jurnal Sistem Informasi, 5(2). Ahmad, I., & Rahman Chowdhury, A. (2008). Electronic Customer Relationship Management (eCRM): Customers\u27 perception of value from eCRM features on airline e-ticketing Websites. Alhaiou, T., Irani, Z., & Ali, M. (2009). The relationship between ecrm implementation and eloyalty at different adoption stages of transaction cycle: A conceptual framework and hypothesis. EMCIS2009: July 13-14 2009, Crowne Plaza Hotel, Izmir Andriansyah, Febri. (2015). Foto Bengkel AHASS BAM 7689 Cirebon. Beccaria, M. (2011). How to Provide Live Library Information via SMS Using Twilio. Code4Lib Journal, (14). Darudianto, S., Puji, Y. D., Angelina, D., & Margaretha, D. (2006). Analisis dan Perancangan Sistem Aplikasi Customer Relationship Management Berbasis WEB. In Seminar nasional aplikasi teknologi informasi. Deacon, Jhon. (2013). Model-View-Controller (MVC) Architecture. http://www.jdl.co.uk/briefings/mvc.html. Diakses 1 April 2015 Eko, K. B., & Faldy, I. (2011). Analisis Fitur Crm Untuk Meningkatkan Kepuasan Pasien-berbasis Pada Framework Of Dynamic Crm Studi Kasus: Departemen Obstetri Dan Ginekologi Fkui-rscm Jakarta. Telematika, (45). Farhan, Mohammad et.al. (2014). Object Query Optimization through Detecting Independent Subqueries. IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661 Volume 16 French, A. M. (2011). Web Development Life Cycle: A New Methodology for Developing Web Applications. Journal of Internet Banking and Commerce, 16(2), 2011-08. Ghongade, S.Rutija and Prof.PJ.Pursani. (2014). Comparison of Relational Database and Object Oriented Database. IJMTER e-ISSN: 2349-9745. Hidayat, Arief dan Surarso, Bayu. (2012). Penerapan Arsitektur Model View Controller (MVC) Dalam Rancang Bangun Sistem Kuis Online Adaptif. SENTIKA 2012, Yogyakarta ISSN: 2089-9815. Hidayat, Rachmat. (2014). Sistem Informasi Ekpedisi Barang Dengan Metode E-CRM Untuk Meningkatkan Pelayanan Pelanggan. Jurnal Sisfotek Global ISSN: 2088-1762 Vol.1. Honni. Robertus, Tang Herman. Kurniawan, Iswanto. (2008). Pengembangan Aplikasi E-Crm pada PT Trafoindo Prima Perkasa. Jurnal CommIT, 02 (02). ISSN 1979-2484 Illahi, Kurnia Illahi (2015). Sistem Informasi Usaha Kecil Menengah Pada Dinas Koperasi Dan Ukm Kota Pekanbaru. Skripsi thesis, Universitas Islam Negeri Sultan Syarif Kasim Riau. Imas, P. (2014). Implementasi Sms Gateway Pada Kantor Perpustakaan Dan Arsip Kabupaten Batang. Skripsi, Fakultas Ilmu Komputer. Jovanović, I. (2006). Software Testing Methods and Techniques. The IPSI BgD Transactions on Internet Research, 30. Kamatchi, R., Iyer, J., & Singh, S. (2013, March). Software Engineering: Web Development Life Cycle. In International Journal of Engineering Research and Technology (Vol. 2, No. 3 (March-2013)). ESRSA Publications. Kaswidjanti, Wilis dkk. (2011). Aplikasi e-CRM Berbasis Web Pada Rumah Sakit. Telematika Vol.8, No.1, Juli 2011: 17-24 Kazeem, Olorisade Babatunde, and Ogunride Mutiat Adebukola. (2014). Performance Comparison of Dynamic Web Scripting Language: A Case Study of PHP and ASP.NET. International Journal of Scientific & Engineering Research, Volume 5, Issue 7, July-2014 ISSN 2229-5518 Kominfo. (2009). Data dan Statistik Kominfo: http://statistik.kominfo.go.id/site/data?idtree=213&iddoc=765&data-data_page=2. Diakses tanggal 15 Maret 2015 Kosasi, Sandy. (2012). Perencanaan Arsitektur Sistem Informasi e-Procurement Menggunakan Metode Value Matrix Pada PT.Cipta Karya Bersatu. Jurnal Ilmiah SISFOTENIKA Vol. 2, No. 2, Juli 2012 Luthfi, Hisyam Wahid. (2013). Sistem Informasi Perawatan Dan Inventaris Laboratorium Pada SMK Negeri 1 Rembang Berbasis Web. Indonesian Jurnal on Computer Science - Speed (IJCSS) 15 Vol 10 No 1. Mawardi, S., Satria, E., & Tresnawati, D. (2013). Perancangan Web Kelas Online Dengan Metodologi Wisdm Berbasis Learning Manajement System Di Man Pameungpeuk. Jurnal Algoritma, 9(01). Mettagarunagul, Mingruedee and Pensiri Pengprakiet. (2011). The Use of eCRM to Enhance Customer Relationship: The Case of Toyota Mahanakkorn. Malardalen University, Sweden. Muliawan, J., Cloudio Arnold Subrata, G. E. O. R. A. N. D. U. S., & Hermawan, R. (2007). Analisa Dan Perancangan E-crm Pada Pt. Graha Star Auto Center (Doctoral Dissertation, Binus). Mohammed A.M, Nabil and Dr.AGovardhan. (2011). Comparison between Traditional Approach and Object-Oriented Approach in Software Engineering Development. IJACSA Vol.2, No.6. Mwambe, O. O., & Lutsaievskyi, O. (2013). Selection and Application of Software Testing Techniques to Specific Conditions of Software Projects. International Journal of Computer Applications, 70(18). Nielsen, Jakob. (1995). 10 Usability Heuristics for User Interface Design. http://www.nngroup.com/articles/ten-USAbility-heuristics/. Diakses tanggal 25 Juli 2015 Novaliendry, Dony. (2011). Multimedia Pembelajaran Bahasa Mandarin dan Website Promosi. Jurnal Teknologi Informasi dan Pendidikan Vol.3 No.1 ISSN: 2086-4981. Oyenike, Bosede. (2012). Comparative Analysis of Some Programming Languages. Transnational Journal of Science and Technology. June 2012 edition vol.2 No.5 Pressman, Roger S. (2010).Software Enginering: A. Practitioner\u27s Approach. Seventh Edition. M cGraw-Hill Comp anies, Inc., New York. PT Astra Honda Motor. (2014). Karir AHM: http://www.astra-honda.com/index.php/karir/. Diakses tanggal 15 November 2014 Qureshi, M.Rizwan Jameel. (2013). A Comparison of Model View Controller and Model View Presenter. ISSN 1013-5316, CODEN: SINTE 8 Restiana, Yayan. (2015), Februari 21. Personal Interview Sarwono, Jonathan. (2014). Teknik Jitu Memilih Prosedur Analisis Dalam Skripsi. Kompas Gramedia. Jakarta Santoso, S. (2003). Mengatasi Berbagai Masalah Statistik Dengan SPSS. Jakarta: PT Elex Media Komputindo. Sawant, A. A., Bari, P. H., & Chawan, P. M. (2012). Software Testing Techniques and Strategies. International Journal of Engineering Research and Applications (IJERA), 2(3), 980-986. Shaffi, A., & Al-Obaidy, M. (2013). Analysis and comparative study of traditional and web information systems development methodology (WISDM) towards Web development applications. International Journal of Emerging Technology and Advanced Engineering, 3(11), 277-282. Siahaan, Hotlan. (2008). Costumer Relationship Management (CRM) sebagai Sarana Meraih Image Positif untuk Perpustakaan. Pustaha: Jurnal Studi Perpustakaan dan Informasi, Vol. 4, No. 2, Desember 2008 Sophonthummapharn, K. (2009). The adoption of techno-relationship innovations A framework for electronic customer relationship management, Marketing Intelligence & Planning. Vol. 27 No. 3, 2009 pp. 380-412 UGM. (2014). Universitas Gadjah Mada: Menkominfo: 270 Juta Pengguna Ponsel di Indonesia: http://ugm.ac.id/id/berita/8776-menkominfo%3A.270.juta.pengguna.ponsel.di.Indonesia. Diakses tanggal 17 Maret 2015. Wijayanti, Teti. Azharim Imam. (2011). Pengembangan Customer Relationship Management Berbasis Web pada Griya Muslim Flora. Jurnal Sistem Informasi. JUSI Vol 1, No. 1. Williams, L. (2006). Testing overview and black-box testing techniques. URL: http://agile.csc.ncsu.edu/SEMaterials/BlackBox.pdf. Diakses tanggal 20 Juli 2015

Considerations about quality in model-driven engineering

The final publication is available at Springer via http://dx.doi.org/10.1007/s11219-016-9350-6The virtue of quality is not itself a subject; it depends on a subject. In the software engineering field, quality means good software products that meet customer expectations, constraints, and requirements. Despite the numerous approaches, methods, descriptive models, and tools, that have been developed, a level of consensus has been reached by software practitioners. However, in the model-driven engineering (MDE) field, which has emerged from software engineering paradigms, quality continues to be a great challenge since the subject is not fully defined. The use of models alone is not enough to manage all of the quality issues at the modeling language level. In this work, we present the current state and some relevant considerations regarding quality in MDE, by identifying current categories in quality conception and by highlighting quality issues in real applications of the model-driven initiatives. We identified 16 categories in the definition of quality in MDE. From this identification, by applying an adaptive sampling approach, we discovered the five most influential authors for the works that propose definitions of quality. These include (in order): the OMG standards (e.g., MDA, UML, MOF, OCL, SysML), the ISO standards for software quality models (e.g., 9126 and 25,000), Krogstie, Lindland, and Moody. We also discovered families of works about quality, i.e., works that belong to the same author or topic. Seventy-three works were found with evidence of the mismatch between the academic/research field of quality evaluation of modeling languages and actual MDE practice in industry. We demonstrate that this field does not currently solve quality issues reported in industrial scenarios. The evidence of the mismatch was grouped in eight categories, four for academic/research evidence and four for industrial reports. These categories were detected based on the scope proposed in each one of the academic/research works and from the questions and issues raised by real practitioners. We then proposed a scenario to illustrate quality issues in a real information system project in which multiple modeling languages were used. For the evaluation of the quality of this MDE scenario, we chose one of the most cited and influential quality frameworks; it was detected from the information obtained in the identification of the categories about quality definition for MDE. We demonstrated that the selected framework falls short in addressing the quality issues. Finally, based on the findings, we derive eight challenges for quality evaluation in MDE projects that current quality initiatives do not address sufficiently.F.G, would like to thank COLCIENCIAS (Colombia) for funding this work through the Colciencias Grant call 512-2010. This work has been supported by the Gene-ralitat Valenciana Project IDEO (PROMETEOII/2014/039), the European Commission FP7 Project CaaS (611351), and ERDF structural funds.Giraldo-Velásquez, FD.; España Cubillo, S.; Pastor López, O.; Giraldo, WJ. (2016). Considerations about quality in model-driven engineering. Software Quality Journal. 1-66. https://doi.org/10.1007/s11219-016-9350-6S166(1985). Iso information processing—documentation symbols and conventions for data, program and system flowcharts, program network charts and system resources charts. ISO 5807:1985(E) (pp. 1–25).(2011). Iso/iec/ieee systems and software engineering – architecture description. ISO/IEC/IEEE 42010:2011(E) (Revision of ISO/IEC 42010:2007 and IEEE Std 1471-2000) (pp. 1–46).Abran, A., Moore, J.W., Bourque, P., Dupuis, R., & Tripp, L.L. (2013). Guide to the Software Engineering Body of Knowledge (SWEBOK) version 3 public review. IEEE. ISO Technical Report ISO/IEC TR 19759.Agner, L.T.W., Soares, I.W., Stadzisz, P.C., & Simão, J.M. (2013). A brazilian survey on {UML} and model-driven practices for embedded software development. Journal of Systems and Software, 86(4), 997–1005. {SI} : Software Engineering in Brazil: Retrospective and Prospective Views.Amstel, M.F.V. (2010). The right tool for the right job: assessing model transformation quality. pages 69–74. Affiliation: Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, Netherlands. Cited By (since 1996):1.Aranda, J., Damian, D., & Borici, A. (2012). Transition to model-driven engineering: what is revolutionary, what remains the same?. In Proceedings of the 15th international conference on model driven engineering languages and systems, MODELS’12 (pp. 692–708). Berlin, Heidelberg: Springer.Arendt, T., & Taentzer, G. (2013). A tool environment for quality assurance based on the eclipse modeling framework. Automated Software Engineering, 20(2), 141–184.Atkinson, C., Bunse, C., & Wüst, J. (2003). Driving component-based software development through quality modelling, volume 2693. Cited By (since 1996):3.Baker, P., Loh, S., & Weil, F. (2005). Model-driven engineering in a large industrial context—motorola case study. In Briand, L., & Williams, C. (Eds.) Model Driven Engineering Languages and Systems, volume 3713 of Lecture Notes in Computer Science (pp. 476–491). Berlin, Heidelberg: Springer.Barišić, A., Amaral, V., Goulão, M., & Barroca, B. (2011). Quality in use of domain-specific languages: a case study. In Proceedings of the 3rd ACM SIGPLAN workshop on evaluation and usability of programming languages and tools, PLATEAU ’11 (pp. 65–72). New York: ACM.Becker, J., Bergener, P., Breuker, D., & Rackers, M. (2010). Evaluating the expressiveness of domain specific modeling languages using the bunge-wand-weber ontology. In 2010 43rd Hawaii international conference on system sciences (HICSS) (pp. 1–10).Bertrand Portier, L.A. (2009). Model driven development misperceptions and challenges.Bézivin, J., & Kurtev, I. (2005). Model-based technology integration with the technical space concept. In Proceedings of the Metainformatics Symposium: Springer.Brambilla, M. (2016). How mature is of model-driven engineering as an engineering discipline @ONLINE.Brambilla, M., & Fraternali, P. (2014). Large-scale model-driven engineering of web user interaction: The webml and webratio experience. Science of Computer Programming, 89 Part B(0), 71 – 87. Special issue on Success Stories in Model Driven Engineering.Brown, A. (2009). Simple and practical model driven architecture (mda) @ONLINE.Bruel, J.-M., Combemale, B., Ober, I., & Raynal, H. (2015). Mde in practice for computational science. Procedia Computer Science, 51, 660–669.Budgen, D., Burn, A.J., Brereton, O.P., Kitchenham, B.A., & Pretorius, R. (2011). Empirical evidence about the uml: a systematic literature review. Software: Practice and Experience, 41(4), 363–392.Burden, H., Heldal, R., & Whittle, J. (2014). Comparing and contrasting model-driven engineering at three large companies. In Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM ’14 (pp. 14:1–14:10). New York: ACM.Cabot, J. Has mda been abandoned (by the omg)?Cabot, J. (2009). Modeling will be commonplace in three years time @ONLINE.Cachero, C., Poels, G., Calero, C., & Marhuenda, Y. (2007). Towards a Quality-Aware Engineering Process for the Development of Web Applications. Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/462, Ghent University, Faculty of Economics and Business Administration.Challenger, M., Kardas, G., & Tekinerdogan, B. (2015). A systematic approach to evaluating domain-specific modeling language environments for multi-agent systems. Software Quality Journal, 1–41.Chaudron, M.V., Heijstek, W., & Nugroho, A. (2012). How effective is uml modeling? Software & Systems Modeling, 11(4), 571–580. J2: Softw Syst Model.Chenouard, R., Granvilliers, L., & Soto, R. (2008). Model-driven constraint programming. pages 236–246. Affiliation: CNRS, LINA, Universit de Nantes, France; Affiliation: Pontificia Universidad Catlica de, Valparaiso, Chile. Cited By (since 1996):8.Clark, T., & Muller, P.-A. (2012). Exploiting model driven technology: a tale of two startups. Software and Systems Modeling, 11(4), 481–493.Corneliussen, L. (2008). What do you think of model-driven software development?Costal, D., Gómez, C., & Guizzardi, G. (2011). Formal semantics and ontological analysis for understanding subsetting, specialization and redefinition of associations in uml. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6998 LNCS:189–203. cited By (since 1996)3.Cruz-Lemus, J.A., Maes, A., Género, M., Poels, G., & Piattini, M. (2010). The impact of structural complexity on the understandability of uml statechart diagrams. Information Sciences, 180(11), 2209–2220. Cited By (since 1996):14.Cuadrado, J.S., Izquierdo, J.L.C., & Molina, J.G. (2014). Applying model-driven engineering in small software enterprises. Science of Computer Programming, 89 Part B(0), 176 – 198. Special issue on Success Stories in Model Driven Engineering.Da Silva, A.R. (2015). Model-driven engineering: a survey supported by the unified conceptual model. Computer Languages Systems and Structures, 43, 139–155.Da Silva Teixeira, D.G.M., Quirino, G.K., Gailly, F., De Almeida Falbo, R., Guizzardi, G., & Perini Barcellos, M. (2016). PoN-S: a Systematic Approach for Applying the Physics of Notation (PoN), (pp. 432–447). Cham: Springer International Publishing.Davies, I., Green, P., Rosemann, M., Indulska, M., & Gallo, S. (2006). How do practitioners use conceptual modeling in practice? Data and Knowledge Engineering, 58(3), 358 – 380. Including the special issue : {ER} 2004ER 2004.Davies, J., Milward, D., Wang, C.-W., & Welch, J. (2015). Formal model-driven engineering of critical information systems. Science of Computer Programming, 103(0), 88 – 113. Selected papers from the First International Workshop on Formal Techniques for Safety-Critical Systems (FTSCS 2012).De Oca, I.M.-M., Snoeck, M., Reijers, H.A., & Rodríguez-Morffi, A. (2015). A systematic literature review of studies on business process modeling quality. Information and Software Technology, 58, 187–205.DenHaan, J. (2009). 8 reasons why model driven development is dangerous @ONLINE.DenHaan, J. (2010). Model driven engineering vs the commando pattern @ONLINE.DenHaan, J. (2011a). Why aren’t we all doing model driven development yet @ONLINE.DenHaan, J. (2011b). Why there is no future model driven development @ONLINE.Di Ruscio, D., Iovino, L., & Pierantonio, A. (2013). Managing the coupled evolution of metamodels and textual concrete syntax specifications. cited By (since 1996)0.Dijkman, R.M., Dumas, M., & Ouyang, C. (2008). Semantics and analysis of business process models in {BPMN}. Information and Software Technology, 50(12), 1281–1294.Domínguez-Mayo, F.J., Escalona, M.J., Mejías, M., Ramos, I., & Fernández, L. (2011). A framework for the quality evaluation of mdwe methodologies and information technology infrastructures. International Journal of Human Capital and Information Technology Professionals, 2(4), 11–22.Domínguez-Mayo, F.J., Escalona, M.J., Mejías, M., & Torres, A.H. (2010). A quality model in a quality evaluation framework for mdwe methodologies. pages 495–506. Affiliation: Departamento de Lenguajes y Sistemas Informíticos, University of Seville, Seville, Spain., Cited By (since 1996):1.Dubray, J.-J. (2011). Why did mde miss the boat?.Escalona, M.J., Gutiérrez, J.J., Pérez-Pérez, M., Molina, A., Domínguez-Mayo, E., & Domínguez-Mayo, F.J. (2011). Measuring the Quality of Model-Driven Projects with NDT-Quality, (pp. 307–317). New York: Springer.Espinilla, M., Domínguez-Mayo, F.J., Escalona, M.J., Mejías, M., Ross, M., & Staples, G. (2011). A Method Based on AHP to Define the Quality Model of QuEF (Vol. 123, pp. 685–694). Berlin, Heidelberg: Springer.Fabra, J., Castro, V.D., Álvarez, P., & Marcos, E. (2012). Automatic execution of business process models: exploiting the benefits of model-driven engineering approaches. Journal of Systems and Software, 85(3), 607–625. Novel approaches in the design and implementation of systems/software architecture.Falkenberg, E.D., Hesse, W., Lindgreen, P., Nilsson, B.E., Oei, J.L.H., Rolland, C., Stamper, R.K., Assche, F.J.M.V., Verrijn-Stuart, A.A., & Voss, K. (1996). Frisco: a framework of information system concepts. Technical report, The IFIP WG 8. 1 Task Group FRISCO.Fettke, P., Houy, C., Vella, A.-L., & Loos, P. (2012). Towards the Reconstruction and Evaluation of Conceptual Model Quality Discourses – Methodical Framework and Application in the Context of Model Understandability, volume 113 of Lecture Notes in Business Information Processing, chapter 28, pages 406–421, Springer, Berlin, Heidelberg.Finnie, S. (2015). Modeling community: Are we missing something?Fournier, C. (2008). Is uml [email protected], R., & Rumpe, B. (2007). Model-driven development of complex software: a research roadmap. In Future of Software Engineering, 2007, FOSE ’07 (pp. 37–54).Gallego, M., Giraldo, F.D., & Hitpass, B. (2015). Adapting the pbec-otss software selection approach for bpm suites: an application case. In 2015 34th International Conference of the Chilean Computer Science Society (SCCC) (pp. 1–10).Galvão, I., & Goknil, A. (2007). Survey of traceability approaches in model-driven engineering. cited By (since 1996)22.Giraldo, F., España, S., Giraldo, W., & Pastor, O. (2015). Modelling language quality evaluation in model-driven information systems engineering: a roadmap. In 2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) (pp. 64–69).Giraldo, F., España, S., & Pastor, O. (2014). Analysing the concept of quality in model-driven engineering literature: a systematic review. In 2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS) (pp. 1–12).Giraldo, F.D., España, S., & Pastor, O. (2016). Evidences of the mismatch between industry and academy on modelling language quality evaluation. arXiv: 1606.02025 .González, C., & Cabot, J. (2014). Formal verification of static software models in mde: a systematic review. Information and Software Technology, 56(8), 821–838. cited By (since 1996)0.González, C.A., Büttner, F., Clarisó, R., & Cabot, J. (2012). Emftocsp: a tool for the lightweight verification of emf models. pages 44–50. Affiliation: cole des Mines de Nantes, INRIA, LINA, Nantes, France; Affiliation: Universitat Oberta de Catalunya, Barcelona, Spain. Cited By (since 1996):1.Gorschek, T., Tempero, E., & Angelis, L. (2014). On the use of software design models in software development practice: an empirical investigation. Journal of Systems and Software, 95(0), 176– 193.Goulão, M., Amaral, V., & Mernik, M. (2016). Quality in model-driven engineering: a tertiary study. Software Quality Journal, 1–33.Grobshtein, Y., & Dori, D. (2011). Generating sysml views from an opm model: design and evaluation. Systems Engineering, 14(3), 327–340.Haan, J.d. (2008). 8 reasons why model-driven approaches (will) fail.Harel, D., & Rumpe, B. (2000). Modeling languages: Syntax, semantics and all that stuff, part i: The basic stuff, Israel. Technical report Jerusalem Israel.Harel, D., & Rumpe, B. (2004). Meaningful modeling: what’s the semantics of semantics? Computer, 37(10), 64–72.Hebig, R., & Bendraou, R. (2014). On the need to study the impact of model driven engineering on software processes. In Proceedings of the 2014 International Conference on Software and System Process, ICSSP 2014 (pp. 164–168). New York: ACM.Heidari, F., & Loucopoulos, P. (2014). Quality evaluation framework (qef): modeling and evaluating quality of business processes. International Journal of Accounting Information Systems, 15(3), 193–223. Business Process Modeling.Heymans, P., Schobbens, P.Y., Trigaux, J.C., Bontemps, Y., Matulevicius, R., & Classen, A. (2008). Evaluating formal properties of feature diagram languages. Software, IET, 2(3), 281–302. ID 2.Hindawi, M., Morel, L., Aubry, R., & Sourrouille, J.-L. (2009). Description and Implementation of a UML Style Guide (Vol. 5421, pp. 291–302). Berlin: Springer.Hoang, D. (2012). Current limitations of mdd and its implications @ONLINE.Hodges, W. (2013). Model theory Zalta, E.N. (Ed.) The Stanford Encyclopedia of Philosophy. Fall 2013 edition.Hutchinson, J., Rouncefield, M., & Whittle, J. (2011a). Model-driven engineering practices in industry. In Proceedings of the 33rd International Conference on Software Engineering, ICSE’11 (pp. 633–642). New York: ACM.Hutchinson, J., Whittle, J., & Rouncefield, M. (2014). Model-driven engineering practices in industry: social, organizational and managerial factors that lead to success or failure. Science of Computer Programming, 89 Part B(0), 144–161. Special issue on Success Stories in Model Driven Engineering.Hutchinson, J., Whittle, J., Rouncefield, M., & Kristoffersen, S. (2011b). Empirical assessment of mde in industry. In Proceedings of the 33rd International Conference on Software Engineering, ICSE’11 (pp. 471–480). New York: ACM.Igarza, I.M.H., Boada, D.H.G., & Valdés, A.P. (2012). Una introducción al desarrollo de software dirigido por modelos. Serie Científica, 5(3).ISO/IEC (2001). ISO/IEC 9126. Software engineering—Product quality. ISO/IEC.Izurieta, C., Rojas, G., & Griffith, I. (2015). Preemptive management of model driven technical debt for improving software quality. In Proceedings of the 11th International ACM SIGSOFT Conference on Quality of Software Architectures, QoSA’15 (pp. 31–36). New York: ACM.Jalali, S., & Wohlin, C. (2012). Systematic literature studies: Database searches vs. backward snowballing. In Proceedings of the ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM’12 (pp. 29–38). New York: ACM.Kahraman, G., & Bilgen, S. (2013). A framework for qualitative assessment of domain-specific languages. Software & Systems Modeling, 1–22.Kessentini, M., Langer, P., & Wimmer, M. (2013). Searching models, modeling search: On the synergies of sbse and mde (pp. 51–54).Kitchenham, B., & Charters, S. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. Technical Report EBSE 2007-001, Keele University and Durham University Joint Report.Kitchenham, B., Pfleeger, S., Pickard, L., Jones, P., Hoaglin, D., El Emam, K., & Rosenberg, J. (2002). Preliminary guidelines for empirical research in software engineering. IEEE Transactions on Software Engineering, 28(8), 721–734.Klinke, M. (2008). Do you use mda/mdd/mdsd, any kind of model-driven approach? Will it be the future?Köhnlein, J. (2013). Eclipse diagram editors from a user’s perspective.Kolovos, D.S., Paige, R.F., & Polack, F.A. (2008). The grand challenge of scalability for model driven engineering. In Models in Software Engineering (pp. 48–53): Springer.Kolovos, D.S., Rose, L.M., Matragkas, N., Paige, R.F., Guerra, E., Cuadrado, J.S., De Lara, J., Ráth, I., Varró, D., Tisi, M., & Cabot, J. (2013). A research roadmap towards achieving scalability in model driven engineering. In Proceedings of the Workshop on Scalability in Model Driven Engineering, BigMDE’13 (pp. 2:1–2:10). New York: ACM.Krill, P. (2016). Uml to be ejected from microsoft visual studio (infoworld).Krogstie, J. (2012a). Model-based development and evolution of information systems: a quality approach, Springer Publishing Company, Incorporated.Krogstie, J. (2012b). Quality of modelling languages, (pp. 249–280). London: Springer.Krogstie, J. (2012c). Quality of models, (pp. 205–247). London: Springer.Krogstie, J. (2012d). Specialisations of SEQUAL, (pp. 281–326). London: Springer.Krogstie, J., Lindland, O.I., & Sindre, G. (1995). Defining quality aspects for conceptual models. In Proceedings of the IFIP International Working Conference on Information System Concepts: Towards a Consolidation of Views (pp. 216–231). London: Chapman & Hall, Ltd.Kruchten, P. (2000). The rational unified process: an introduction, 2nd edn. Boston: Addison-Wesley Longman Publishing Co., Inc.Kruchten, P., Nord, R., & Ozkaya, I. (2012). Technical debt: from metaphor to theory and practice. Software, IEEE, 29(6), 18–21.Kulkarni, V., Reddy, S., & Rajbhoj, A. (2010). Scaling up model driven engineering – experience and lessons learnt. In Petriu, D., Rouquette, N., & Haugen, y. (Eds.) Model Driven Engineering Languages and Systems, volume 6395 of Lecture Notes in Computer Science (pp. 331–345). Berlin, Heidelberg: Springer.Laguna, M.A., & Marqués, J.M. (2010). Uml support for designing software product lines: the package merge mechanism, 16(17), 2313–2332.Lange, C. (2007a). Model size matters. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4364 LNCS:211–216. cited By (since 1996)1.Lange, C., & Chaudron, M. (2005). Managing Model Quality in UML-Based Software Development. In 13th IEEE International Workshop on Technology and Engineering Practice, 2005 (pp. 7–16).Lange, C., Chaudron, M.R.V., Muskens, J., Somers, L.J., & Dortmans, H.M. (2003). An empirical investigation in quantifying inconsistency and incompleteness of uml designs. In Incompleteness of UML Designs, Proceedings Workshop on Consistency Problems in UML-based Software Development, 6th International Conference on Unified Modeling Language, UML, 2003.Lange, C., DuBois, B., Chaudron, M., & Demeyer, S. (2006). An experimental investigation of uml modeling conventions. In Nierstrasz, O., Whittle, J., Harel, D., & Reggio, G. (Eds.) Model Driven Engineering Languages and Systems, volume 4199 of Lecture Notes in Computer Science (pp. 27–41). Berlin, Heidelberg: Springer.Lange, C.F.J., & Chaudron, M.R.V. (2006). Effe

Interoperability, Trust Based Information Sharing Protocol and Security: Digital Government Key Issues

Improved interoperability between public and private organizations is of key significance to make digital government newest triumphant. Digital Government interoperability, information sharing protocol and security are measured the key issue for achieving a refined stage of digital government. Flawless interoperability is essential to share the information between diverse and merely dispersed organisations in several network environments by using computer based tools. Digital government must ensure security for its information systems, including computers and networks for providing better service to the citizens. Governments around the world are increasingly revolving to information sharing and integration for solving problems in programs and policy areas. Evils of global worry such as syndrome discovery and manage, terror campaign, immigration and border control, prohibited drug trafficking, and more demand information sharing, harmonization and cooperation amid government agencies within a country and across national borders. A number of daunting challenges survive to the progress of an efficient information sharing protocol. A secure and trusted information-sharing protocol is required to enable users to interact and share information easily and perfectly across many diverse networks and databases globally.Comment: 20 page