An Empirical Evaluation of a Historical Data Warehouse

Computing is widely regarded as a scientific discipline that emphasizes on three different perspectives: mathematics, present in the development of formalisms, theories and algorithms; engineering, linked to the goal of making things better, faster, smaller, cheaper and, finally, the science that can be defined as the activity to develop general and predictive theories that allow these theories to be evaluated and tested. However, research in software engineering rarely describes explicitly its research paradigms and standards to assess the quality of its results. Due to a growing understanding in the computer science community that empirical studies are needed to improve processes, methods and tools for the development and maintenance of software, an emerging area in software engineering is developed: the Empirical Software Engineering. This subarea is one step down in the claims of scientificity but it aims to address this shortcoming. The objective of this work is to conduct an empirical corroboration for developing a method of a Historical Data Warehouse, the temporal data model and the associated query interface.Sociedad Argentina de Informática e Investigación Operativa (SADIO

An Empirical Evaluation of a Historical Data Warehouse

Computing is widely regarded as a scientific discipline that emphasizes on three different perspectives: mathematics, present in the development of formalisms, theories and algorithms; engineering, linked to the goal of making things better, faster, smaller, cheaper and, finally, the science that can be defined as the activity to develop general and predictive theories that allow these theories to be evaluated and tested. However, research in software engineering rarely describes explicitly its research paradigms and standards to assess the quality of its results. Due to a growing understanding in the computer science community that empirical studies are needed to improve processes, methods and tools for the development and maintenance of software, an emerging area in software engineering is developed: the Empirical Software Engineering. This subarea is one step down in the claims of scientificity but it aims to address this shortcoming. The objective of this work is to conduct an empirical corroboration for developing a method of a Historical Data Warehouse, the temporal data model and the associated query interface.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Report on the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2)

This technical report records and discusses the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2). The report includes a description of the alternative, experimental submission and review process, two workshop keynote presentations, a series of lightning talks, a discussion on sustainability, and five discussions from the topic areas of exploring sustainability; software development experiences; credit & incentives; reproducibility & reuse & sharing; and code testing & code review. For each topic, the report includes a list of tangible actions that were proposed and that would lead to potential change. The workshop recognized that reliance on scientific software is pervasive in all areas of world-leading research today. The workshop participants then proceeded to explore different perspectives on the concept of sustainability. Key enablers and barriers of sustainable scientific software were identified from their experiences. In addition, recommendations with new requirements such as software credit files and software prize frameworks were outlined for improving practices in sustainable software engineering. There was also broad consensus that formal training in software development or engineering was rare among the practitioners. Significant strides need to be made in building a sense of community via training in software and technical practices, on increasing their size and scope, and on better integrating them directly into graduate education programs. Finally, journals can define and publish policies to improve reproducibility, whereas reviewers can insist that authors provide sufficient information and access to data and software to allow them reproduce the results in the paper. Hence a list of criteria is compiled for journals to provide to reviewers so as to make it easier to review software submitted for publication as a “Software Paper.

An Empirical Evaluation of a Historical Data Warehouse

Abstract. Computing is widely regarded as a scientific discipline that emphasizes on three different perspectives: mathematics, present in the development of formalisms, theories and algorithms; engineering, linked to the goal of making things better, faster, smaller, cheaper and, finally, the science that can be defined as the activity to develop general and predictive theories that allow these theories to be evaluated and tested. However, research in software engineering rarely describes explicitly its research paradigms and standards to assess the quality of its results. Due to a growing understanding in the computer science community that empirical studies are needed to improve processes, methods and tools for the development and maintenance of software, an emerging area in software engineering is developed: the Empirical Software Engineering. This subarea is one step down in the claims of scientificity but it aims to address this shortcoming. The objective of this work is to conduct an empirical corroboration for developing a method of a Historical Data Warehouse, the temporal data model and the associated query interface

An Empirical Evaluation of a Historical Data Warehouse

Computing is widely regarded as a scientific discipline that emphasizes on three different perspectives: mathematics, present in the development of formalisms, theories and algorithms; engineering, linked to the goal of making things better, faster, smaller, cheaper and, finally, the science that can be defined as the activity to develop general and predictive theories that allow these theories to be evaluated and tested. However, research in software engineering rarely describes explicitly its research paradigms and standards to assess the quality of its results. Due to a growing understanding in the computer science community that empirical studies are needed to improve processes, methods and tools for the development and maintenance of software, an emerging area in software engineering is developed: the Empirical Software Engineering. This subarea is one step down in the claims of scientificity but it aims to address this shortcoming. The objective of this work is to conduct an empirical corroboration for developing a method of a Historical Data Warehouse, the temporal data model and the associated query interface.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Seeking Sustainability for Computing

The talk will provide two perspectives on how sustainability is considered in computing. First, the impact computing has on energy consumption and on the environment will be discussed through the prism of past and prior research projects. Computing currently drives advances in all areas of science and engineering, generates efficiencies in industries, and dominates the creation and delivery of entertainment. Computing is also a significant consumer of energy accounting for 3% of the global usage. Data centers account of a third of this consumption, yet also provide a case where efficiencies in system design have limited the energy use increase despite considerable growth in computational efficiency. Second, the sustainability of scientific software and data will be discussed. Scientific computing is often driven by applications and libraries created by small research groups that aim to share their work, improve the replicability of the results and provide a tool for a larger research community. Faced with limited funding, lack of academic recognition, and waning interest, such efforts however are often unsuccessful in creating, maintaining and sustaining quality software. Aspects on how software and data products can be sustained will be discussed

Usability Inspection in Model-Driven Web Development: Empirical Validation in WebML

There is a lack of empirically validated usability evaluation methods that can be applied to models in model-driven Web development. Evaluation of these models allows an early detection of usability problems perceived by the end-user. This motivated us to propose WUEP, a usability inspection method which can be integrated into different model-driven Web development processes. We previously demonstrated how WUEP can effectively be used when following the Object-Oriented Hypermedia method. In order to provide evidences about WUEP’s generalizability, this paper presents the operationalization and empirical validation of WUEP into another well-known method: WebML. The effectiveness, efficiency, perceived ease of use, and satisfaction of WUEP were evaluated in comparison to Heuristic Evaluation (HE) from the viewpoint of novice inspectors. The results show that WUEP was more effective and efficient than HE when detecting usability problems on models. Also, inspectors were satisfied when applying WUEP, and found it easier to use than HE.Fernández Martínez, A.; Abrahao Gonzales, SM.; Insfrán Pelozo, CE.; Matera, M. (2013). Usability Inspection in Model-Driven Web Development: Empirical Validation in WebML. Lecture Notes in Computer Science. 8107:740-756. doi:10.1007/978-3-642-41533-3_457407568107Abrahão, S., Iborra, E., Vanderdonckt, J.: Usability Evaluation of User Interfaces Generated with a Model-Driven Architecture Tool. In: Maturing Usability: Quality in Software, Interaction and Value, pp. 3–32. Springer (2007)Atterer, R., Schmidt, A.: Adding Usability to Web Engineering Models and Tools. In: Lowe, D.G., Gaedke, M. (eds.) ICWE 2005. LNCS, vol. 3579, pp. 36–41. Springer, Heidelberg (2005)Basili, V., Rombach, H.: The TAME Project: Towards Improvement-Oriented Software Environments. IEEE Transactions on Software Engineering 14(6), 758–773 (1988)Briand, L., Labiche, Y., Di Penta, M., Yan-Bondoc, H.: An experimental investigation of formality in UML-based development. IEEE TSE 31(10), 833–849 (2005)Carifio, J., Perla, R.: Ten Common Misunderstandings, Misconceptions, Persistent Myths and Urban Legends about Likert Scales and Likert Response Formats and their Antidotes. Journal of Social Sciences 3(3), 106–116 (2007)Ceri, S., Fraternali, P., Bongio, A.: Web modeling language (WebML): a modeling language for designing Web sites. In: 9th International World Wide Web Conference, pp. 137–157 (2000)Ceri, S., Fraternali, P., Acerbis, R., Bongio, A., Butti, S., Ciapessoni, F., Conserva, C., Elli, R., Greppi, C., Tagliasacchi, M., Toffetti, G.: Architectural issues and solutions in the development of data-intensive Web applications. In: Proceedings of the 1st Biennial Conference on Innovative Data Systems Research, Asilomar, CA (2003)Conte, T., Massollar, J., Mendes, E., Travassos, G.H.: Usability Evaluation Based on Web Design Perspectives. In: Proceedings of the International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), pp. 146–155 (2007)Fernandez, A., Insfran, E., Abrahão, S.: Usability evaluation methods for the Web: a systematic mapping study. Information and Software Technology 53, 789–817 (2011)Fernandez, A., Abrahão, S., Insfran, E.: A Web usability evaluation process for model-driven Web development. In: Mouratidis, H., Rolland, C. (eds.) CAiSE 2011. LNCS, vol. 6741, pp. 108–122. Springer, Heidelberg (2011)Fernandez, A., Abrahão, S., Insfran, E., Matera, M.: Further Analysis on the Validation of a Usability Inspection Method for Model-Driven Web Development. In: 6th International Symposium on Empirical Software Engineering and Measurement (ESEM 2012), pp. 153–156 (2012)Fernandez, A., Abrahão, S., Insfran, E.: Empirical Validation of a Usability Inspection Method for Model-Driven Web Development. Journal of Systems and Software 86, 161–186 (2013)Fraternali, P., Matera, M., Maurino, A.: WQA: an XSL Framework for Analyzing the Quality of Web Applications. In: Proceedings of IWWOST 2002 - ECOOP 2002 Workshop, Malaga, Spain (2002)Hornbæk, K.: Dogmas in the assessment of usability evaluation methods. Behaviour & Information Technology 29(1), 97–111 (2010)Hwang, W., Salvendy, G.: Number of people required for usability evaluation: the 10±2 rule. Communications of the ACM 53(5), 130–113 (2010)International Organization for Standardization: ISO/IEC 25000, Software Engineering – Software Product Quality Requirements and Evaluation (SQuaRE) – Guide to SQuaRE (2005)Juristo, N., Moreno, A.M.: Basics of Software Engineering Experimentation. Kluwer Academic Publishers (2001)Juristo, N., Moreno, A., Sanchez-Segura, M.I.: Guidelines for eliciting usability functionalities. IEEE Transactions on Software Engineering 33(11), 744–758 (2007)Matera, M., Costabile, M.F., Garzotto, F., Paolini, P.: SUE inspection: an effective method for systematic usability evaluation of hypermedia. IEEE Transactions on Systems, Man, and Cybernetics, Part A 32(1), 93–103 (2002)Matera, M., Rizzo, F., Carughi, G.: Web Usability: Principles and Evaluation Methods. In: Web Engineering, pp. 143–180. Springer (2006)Maxwell, K.: Applied Statistics for Software Managers. Software Quality Institute Series. Prentice Hall (2002)Molina, F., Toval, A.: Integrating usability requirements that can be evaluated in design time into Model Driven Engineering of Web Information Systems. Advances in Engineering Software 40(12), 1306–1317 (2009)Moreno, N., Vallecillo, A.: Towards interoperable Web engineering methods. Journal of the American Society for Information Science and Technolog 59(7), 1073–1092 (2008)Neuwirth, C.M., Regli, S.H.: IEEE Internet Computing Special Issue on Usability and the Web 6(2) (2002)Nielsen, J.: Heuristic evaluation. In: Usability Inspection Methods. John Wiley & Sons, NY (1994)Offutt, J.: Quality attributes of Web software applications. IEEE Software: Special Issue on Software Engineering of Internet Software, 25–32 (2002)Panach, I., Condori, N., Valverde, F., Aquino, N., Pastor, O.: Understandability measurement in an early usability evaluation for MDD. In: International Symposium on Empirical Software Engineering (ESEM 2008), pp. 354–356 (2008)Webratio. Success stories, Online article, http://www.webratio.com/portal/content/en/success-storiesWohlin, C., Runeson, P., Host, M., Ohlsson, M.C., Regnell, B., Weslen, A.: Experimentation in Software Engineering - An Introduction. Kluwer (2000

Broadening the ecological mindset

Over the past three decades, the Harvard Forest Summer Research Program in Ecology (HF-SRPE) has been at the forefront of expanding the ecological tent for minoritized or otherwise marginalized students. By broadening the definition of ecology to include fields such as data science, software engineering, and remote sensing, we attract a broader range of students, including those who may not prioritize field experiences or who may feel unsafe working in rural or urban field sites. We also work towards a more resilient society in which minoritized or marginalized students can work safely, in part by building teams of students and mentors. Teams collaborate on projects that require a diversity of approaches and create opportunities for students and mentors alike to support one another and share leadership. Finally, HF-SRPE promotes an expanded view of what it means to become an ecologist. We value and support diverse career paths for ecologists to work in all parts of society, to diversify the face of ecology, and to bring different perspectives together to ensure innovations in environmental problem solving for our planet

Trust Requirements in E-Health System: A Conceptual Framework

Resulting from the development of new technology, conventional scientific practices have migrated into computer-based infrastructures, called e-science. Specifically, escience applied in health discipline is called e-health. It is an organized system that deals to diagnose and treat patients. Considering trust is an important role and fundamental for the provision of effective healthcare service, this paper discusses trust requirement in e-health. To highlight the importance of trust in e-health system, a conceptual framework of trust requirements in e-health system is developed. Drawn from literature search framed by STARLITE, a conceptual framework that addresses trust resulting from relationships of various actors based on two perspectives: sociotechnical and technical perspectives are presented. This framework suggests that e-health system must build a trust relationship between actors and understand trust based on sociotechnical and technical perspectives. Further, security and privacy that protect the confidentiality of patient’s data, especially m-health (mobile health) also need trust in resource sharing. It can be concluded that trust requirements in e-health depend on how the media transmits a social experience, patient-system relationship, and collaboration of software engineering and healthcare professionals. The implementation of trust requirements has the potential to produce well-engineered software in a healthcare organization, resulting in the use of software for effective diagnosis and treatment of patients