Systematic construction of goal-oriented COTS taxonomies

El proceso de construir software a partir del ensamblaje e integración de soluciones de software pre-fabricadas, conocidas como componentes COTS (Comercial-Off-The-Shelf) se ha convertido en una necesidad estratégica en una amplia variedad de áreas de aplicación. En general, los componentes COTS son componentes de software que proveen una funcionalidad específica, que están disponibles en el mercado para ser adquiridos e integrados dentro de otros sistemas de software. Los beneficios potenciales de esta tecnología son principalmente la reducción de costes y el acortamiento del tiempo de desarrollo, a la vez que fomenta la calidad. Sin embargo, numerosos retos que van desde problemas técnicos y legales deben ser afrontados para adaptar las actividades tradicionales de ingeniería de software para explotar los beneficios del uso de COTS para el desarrollo de sistemas.Actualmente, existe un incrementalmente enorme mercado de componentes COTS; así, una de las actividades más críticas en el desarrollo de sistemas basados en COTS es la selección de componentes que deben ser integrados en el sistema a desarrollar. La selección está básicamente compuesta de dos procesos principales: La búsqueda de componentes candidatos en el mercado y su posterior evaluación con respecto a los requisitos del sistema. Desafortunadamente, la mayoría de los métodos existentes para seleccionar COTS, se enfocan en el proceso de evaluación, dejando de lado el problema de buscar los componentes en el mercado. La búsqueda de componentes en el mercado no es una tarea trivial, teniendo que afrontar varias características del mercado de COTS, tales como su naturaleza dispersa y siempre creciente, cambio y evolución constante; en este contexto, la obtención de información de calidad acerca de los componentes no es una tarea fácil. Como consecuencia, el proceso de selección de COTS se ve seriamente dañado. Además, las alternativas tradicionales de reuso también carecen de soluciones apropiadas para reusar componentes COTS y el conocimiento adquirido en cada proceso de selección. Esta carencia de propuestas es un problema muy serio que incrementa los riesgos de los proyectos de selección de COTS, además de hacerlos ineficientes y altamente costosos. Esta disertación presenta el método GOThIC (Goal- Oriented Taxonomy and reuse Infrastructure Construction) enfocado a la construcción de infraestructuras de reuso para facilitar la búsqueda y reuso de componentes COTS. El método está basado en el uso de objetivos para construir taxonomías abstractas, bien fundamentadas y estables para lidiar con las características del mercado de COTS. Los nodos de las taxonomías son caracterizados por objetivos, sus relaciones son declaradas como dependencias y varios artefactos son construidos y gestionados para promover la reusabilidad y lidiar con la evolución constante.El método GOThIC ha sido elaborado a través de un proceso iterativo de investigación-acción para identificar los retos reales relacionados con el proceso de búsqueda de COTS. Posteriormente, las soluciones posibles fueron evaluadas e implementadas en varios casos de estudio en el ámbito industrial y académico en diversos dominios. Los resultados más relevantes fueron registrados y articulados en el método GOThIC. La evaluación industrial preliminar del método se ha llevado a cabo en algunas compañías en Noruega.The process of building software systems by assembling and integrating pre-packaged solutions in the form of Commercial-Off-The-Shelf (COTS) software components has become a strategic need in a wide variety of application areas. In general, COTS components are software components that provide a specific functionality, available in the market to be purchased, interfaced and integrated into other software systems. The potential benefits of this technology are mainly its reduced costs and shorter development time, while maintaining the quality. Nevertheless, many challenges ranging form technical to legal issues must be faced for adapting the traditional software engineering activities in order to exploit these benefits.Nowadays there is an increasingly huge marketplace of COTS components; therefore, one of the most critical activities in COTS-based development is the selection of the components to be integrated into the system under development. Selection is basically composed of two main processes, namely: searching of candidates from the marketplace and their evaluation with respect to the system requirements. Unfortunately, most of the different existing methods for COTS selection focus their efforts on evaluation, letting aside the problem of searching components in the marketplace. Searching candidate COTS is not an easy task, having to cope with some challenging marketplace characteristics related to its widespread, evolvable and growing nature; and the lack of available and well-suited information to obtain a quality-assured search. Indeed, traditional reuse approaches also lack of appropriate solutions to reuse COTS components and the knowledge gained in each selection process. This lack of proposals is a serious drawback that makes the whole selection process highly risky, and often expensive and inefficient. This dissertation introduces the GOThIC (Goal- Oriented Taxonomy and reuse Infrastructure Construction) method aimed at building a domain reuse infrastructure for facilitating COTS components searching and reuse. It is based on goal-oriented approaches for building abstract, well-founded and stable taxonomies capable of dealing with the COTS marketplace characteristics. Thus, the nodes of these taxonomies are characterized by means of goals, their relationships declared as dependencies among them and several artifacts are constructed and managed for reusability and evolution purposes. The GOThIC method has been elaborated following an iterative process based on action research premises to identify the actual challenges related to COTS components searching. Then, possible solutions were envisaged and implemented by several industrial and academic case studies in different domains. Successful results were recorded to articulate the synergic GOThIC method solution, followed by its preliminary industrial evaluation in some Norwegian companies

Towards Improving OSS Products Selection – Matching Selectors and OSS Communities Perspectives

Part 1: PapersInternational audienceAdopting third-party software is becoming an economical and strategic need for today organizations. A fundamental part of its successful adoption is the informed selection of products that best fit the organization needs. One of the main current problems hampering selection, specially of OSS products is the vast amount of unstructured, incomplete, evolvable and widespread information about products that highly increases the risks of taking a wrong decision. In this paper, we aim to inform and provide evidence to OSS communities that help them to envisage improvements on their information rendering strategies to satisfy industrial OSS selectors’ needs. Our results are from the matching between the informational needs of 23 OSS selectors from diverse software-intensive organizations, and the in-depth study of 9 OSS communities of different sizes and domains. The results evidenced specific areas of improvement that might help to enhance the industrial OSS selection practice

Towards improving OSS products selection: matching selectors and OSS communities perspectives

Adopting OSS products is becoming an economical and strategic need for today organizations. A fundamental part of successful adoption is the informed selection of OSS products that best fit the organization needs. One of the main current problems hampering OSS selection is the vast amount of unstructured, incomplete, evolvable and widespread information about OSS products that highly increases the risks of taking a wrong decision as well as the likelihood to deter the use of an OSS product. In this paper, based on marketing research principles, we aim to inform and provide evidence to OSS communities that help them to envisage improvements on their information rendering strategies to satisfy industrial OSS selectors’ needs. Our results are from the matching between the informational needs of 23 OSS selectors from diverse software-intensive organizations, and the in-depth study of 9 OSS communities of different sizes and domains. The results evidenced specific areas of improvement. It is a first step to raise the awareness of OSS communities and researchers on areas that are required to improve the industrial OSS selection practice.Peer Reviewe

Information-theoretic causal inference of lexical flow

This volume seeks to infer large phylogenetic networks from phonetically encoded lexical data and contribute in this way to the historical study of language varieties. The technical step that enables progress in this case is the use of causal inference algorithms. Sample sets of words from language varieties are preprocessed into automatically inferred cognate sets, and then modeled as information-theoretic variables based on an intuitive measure of cognate overlap. Causal inference is then applied to these variables in order to determine the existence and direction of influence among the varieties. The directed arcs in the resulting graph structures can be interpreted as reflecting the existence and directionality of lexical flow, a unified model which subsumes inheritance and borrowing as the two main ways of transmission that shape the basic lexicon of languages. A flow-based separation criterion and domain-specific directionality detection criteria are developed to make existing causal inference algorithms more robust against imperfect cognacy data, giving rise to two new algorithms. The Phylogenetic Lexical Flow Inference (PLFI) algorithm requires lexical features of proto-languages to be reconstructed in advance, but yields fully general phylogenetic networks, whereas the more complex Contact Lexical Flow Inference (CLFI) algorithm treats proto-languages as hidden common causes, and only returns hypotheses of historical contact situations between attested languages. The algorithms are evaluated both against a large lexical database of Northern Eurasia spanning many language families, and against simulated data generated by a new model of language contact that builds on the opening and closing of directional contact channels as primary evolutionary events. The algorithms are found to infer the existence of contacts very reliably, whereas the inference of directionality remains difficult. This currently limits the new algorithms to a role as exploratory tools for quickly detecting salient patterns in large lexical datasets, but it should soon be possible for the framework to be enhanced e.g. by confidence values for each directionality decision

Information-theoretic causal inference of lexical flow

This volume seeks to infer large phylogenetic networks from phonetically encoded lexical data and contribute in this way to the historical study of language varieties. The technical step that enables progress in this case is the use of causal inference algorithms. Sample sets of words from language varieties are preprocessed into automatically inferred cognate sets, and then modeled as information-theoretic variables based on an intuitive measure of cognate overlap. Causal inference is then applied to these variables in order to determine the existence and direction of influence among the varieties. The directed arcs in the resulting graph structures can be interpreted as reflecting the existence and directionality of lexical flow, a unified model which subsumes inheritance and borrowing as the two main ways of transmission that shape the basic lexicon of languages

Strategies for the intelligent selection of components

It is becoming common to build applications as component-intensive systems - a mixture of fresh code and existing components. For application developers the selection of components to incorporate is key to overall system quality - so they want the `best\u27. For each selection task, the application developer will de ne requirements for the ideal component and use them to select the most suitable one. While many software selection processes exist there is a lack of repeatable, usable, exible, automated processes with tool support. This investigation has focussed on nding and implementing strategies to enhance the selection of software components. The study was built around four research elements, targeting characterisation, process, strategies and evaluation. A Post-positivist methodology was used with the Spiral Development Model structuring the investigation. Data for the study is generated using a range of qualitative and quantitative methods including a survey approach, a range of case studies and quasiexperiments to focus on the speci c tuning of tools and techniques. Evaluation and review are integral to the SDM: a Goal-Question-Metric (GQM)-based approach was applied to every Spiral

Exploring the application of web 2.0 technologies in the context of e-government

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityElectronic government (e-Government) in terms of public service delivery and administration has endured signification transformation over the last decade. More recently, modern second generation web technologies (Web 2.0) have started to be used to deliver e-Government. However, this in turn has brought about additional challenges. By its nature, Web 2.0 is more interactive than the traditional model of information provision or creation of digital services and as such opens up a new set of benefits, costs and risks to those who make use of it as part of their e-Government approach. In the main, the usage of Web 2.0 is in its infancy within e-Government and this creates a need for research into exploring the application of Web 2.0 technologies in e-Government and to provide practical advice to practitioners. This research draws on the existing literature to present a novel conceptual model that could be used to guide implementation and evaluation of Web 2.0. The conceptual model draws the existing literature into the traditional information systems (IS) evaluation model (benefits, costs and risks) specifically in terms appropriate to Web 2.0. In turn that evaluation is set in the context of the impact on the organisation in terms of organisational, technological and social consequences. This conceptual model was tested in a United Kingdom local government authority (LGA) that had recently started to make use of Web 2.0 in terms of service delivery and for internal work purposes by its employees. The result was a qualitative enquiry making use of interviews and documentary evidence to explore the validity of the conceptual model as a tool to assist decision making in this field. The findings elicited from the in-depth case study offer an insight into IS evaluation criteria and impact factors of Web 2.0 from both a practical setting and an internal organisational perspective. An interesting finding of this study was the contrast between the agreement on the need for evaluation of Web 2.0 tools and how to carry that out, and the fact that this had not been formally carried out by the case study with respect to its early Web 2.0 projects. This study concludes that a combined analysis of the evaluation and impact factors rather than a singular approach would better assist the decision making process that leads to effective application of Web 2.0 technologies. Keywords: e-Government, Web 2.0, Information Systems Evaluation, Impact, Local Government Authorities (LGAs).Brunel Business School - Graduate Research Assistant scholarship

The influence of standardisation and regulation on the development of intelligent networks

In today’s global economy a flexible and responsive telecommunications infrastructure is essential to the maintenance and development of a country’s economy. Within a free market, such an infrastructure depends upon the use of common standards; either imposed as a consequence of regulation or evolved through the operation of the market. This thesis investigates the influence of regulation and standardisation on Intelligent Network telecommunications technology by addressing the hypothesis: Tight architecture-based regulation is inappropriate for a rapidly changing telecommunications environment, since that environment is continually challenging and redefining the boundaries of technological change. The multi-method approach adopted is based upon triangulation to identify multiple viewpoints. A Stakeholder Analysis was employed to help categorise those with an interest in Intelligent Networks and provide a basis for data collection. The primary data was gathered using a combination of surveys and interviews. The thesis illustrates a wide range of original research. A unique analysis framework was constructed to identify a number of factors, including technical and commercial influences and their impact on the choice of IN architecture and the implementation of regulations. This framework offers a new perspective with which to view IN architectures; leading to the development and implementation of alternative IN architecture models. A number of these architectures have been constructed, together with some novel services, to demonstrate what could be achieved by employing flexible, less detailed standards, or making use of proprietary protocols. The research concludes that tight regulation is not appropriate for Intelligent Network technology. Instead, encouragement for implementation and interconnection is better shaped through the development and adoption of de-jure standards