A conceptual model of information supply

Gils, B. van; Proper, Henderik A.; Bommel, P. van

doi:10.1016/j.datak.2004.03.009

Cited by 8 publications

(4 citation statements)

References 44 publications

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“…In addition, we plan automating the evaluation of information source objective properties, that is, extracting properties such as authors’ names and organisations, references and so on, and populating automatically the data base with these properties. Also, we aim at applying technologies such as intelligent agents, ranking algorithms, cluster analysis, web mining/data mining, personalisation, recommendation, and collaborative filtering techniques, commonly integrated into internet search engines [41] to improve the construction of knowledge over these raw data.…”

Section: Discussionmentioning

confidence: 99%

Dealing with information quality in software package selection: an empirically based approach

Ayala

Franch

2014

IET softw.

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Software package selection plays a crucial role in the development of the software systems. One of its main current problems is how to deal with the vast amount of unstructured, incomplete, evolvable and widespread information that highly increases the risks of taking wrong decisions. Based on the information quality research, the authors empirically examine the meaning of information quality as perceived by software package selectors. The results were used to envisage a framework for gauging information quality in the context of diverse software package selection projects. The aim of the framework is to support software package selection decision-making by informing selectors about the quality of the information to be used in a specific project as a risk mitigation strategy. A software tool prototype is also provided to facilitate the collection, storage, retrieval, analysis and reuse of information in a quality assurance environment. A potential scenario of use is also described as future work to be implemented in the context of an European funded project.

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Section: Discussionmentioning

confidence: 99%

Dealing with information quality in software package selection: an empirically based approach

Ayala

Franch

2014

IET softw.

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“…In earlier work ( [22,25]) we have extensively researched information supply. This resulted in a model with which we can characterize information supply.…”

Section: Quality Of Resourcesmentioning

confidence: 99%

“…In previous work we have presented a reference architecture for transformations on the Web (e.g., [22,24,23,25]). In this section we will briefly outline our framework for transformations so that we can study the quality of transformations in the next subsection.…”

Section: Transformationsmentioning

confidence: 99%

On the quality of resources on the Web: An information retrieval perspective

Gils

Proper

Bommel

et al. 2007

Information Sciences

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We use information from the Web for performing our daily tasks more and more often. Locating the right resources that help us in doing so is a daunting task, especially with the present rate of growth of the Web as well as the many different kinds of resources available. The tasks of search engines is to assist us in finding those resources that are apt for our given tasks. In this paper we propose to use the notion of quality as a metric for estimating the aptness of online resources for individual searchers.The formal model for quality as presented in this paper is firmly grounded in literature. It is based on the observations that objects (dubbed artefacts in our work) can play different roles (i.e., perform different functions). An artefact can be of high quality in one role but of poor quality in another. Even more, the notion of quality is highly personal.Our quality-computations for estimating the aptness of resources for searches uses the notion of linguistic variables from the field of fuzzy logic. After presenting our model for quality we also show how manipulation of online resources by means of transformations can influence the quality of these resources.

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“…This could be done by automating the evaluation of information source objective properties, i.e., extracting properties such as authors' names and organizations, references, etc., and populating automatically the database with these properties. We envisage the application of technologies such as intelligent agents, ranking algorithms, cluster analysis, web mining/data mining, personalization, recommendation, and collaborative filtering techniques to improve the construction of knowledge over these raw data [Gils+04].…”

Section: To Collect Empirical Industrial Data To Evaluate and Improve...mentioning

confidence: 99%

Systematic construction of goal-oriented COTS taxonomies

Ayala Martínez

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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.

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A conceptual model of information supply

Cited by 8 publications

References 44 publications

Dealing with information quality in software package selection: an empirically based approach

Dealing with information quality in software package selection: an empirically based approach

On the quality of resources on the Web: An information retrieval perspective

Systematic construction of goal-oriented COTS taxonomies

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