102 research outputs found

    Integrating Software Engineering and Usability Engineering

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    The usability of products gains in importance not only for the users of a system but also for manufacturing organizations. According to Jokela, the advantages for users are far-reaching and include increased productivity, improved quality of work, and increased user satisfaction. Manufacturers also profit significantly through a reduction of support an

    Agile managing of web requirements with WebSpec

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    Web application development is a complex and time consuming process that involves di erent stakeholders (ranging from customers to developers); these applications have some unique characteristics like navigational access to information, sophisticated interaction features, etc. However, there have been few proposals to represent those requirements that are speci c to Web applications. Consequently, validation of requirements (e.g. in acceptance tests) is usually informal, and as a result troublesome. To overcome these problems, this PhD Thesis proposes WebSpec, a domain speci c language for specifying the most relevant and characteristic requirements of Web applications: those involving interaction and navigation. We describe WebSpec diagrams, discussing their abstraction and expressive power. As part of this work, we have created a test driven model based approach called WebTDD that gives a good framework for the language. Using the language with this approach we have test several of its features such as automatic test generation, management of changes in requirements, and improving the understanding of the diagrams through application simulation. This PhD Thesis is composed of a set of published and submitted papers. In order to write this PhD Thesis as a collection of papers, several requirements must be taken into account as stated by the University of Alicante. With regard to the content of the PhD Thesis, it must speci cally include a summary which is devoted to the description of initial hypotheses, research objectives, and the collection of publications itself, thus justifying its coherence. It should be underlined that this summary of the PhD Thesis must also include research results and nal conclusions. This summary corresponds to part I of this PhD Thesis (chapter 1 has been written in Spanish while chapter 2 is in English). This work has been partially supported by the following projects: MANTRA (GV/2011/035) from Valencia Ministry, MANTRA (GRE09-17) from the University of Alicante and by the MESOLAP (TIN2010-14860) project from the Spanish Ministry of Education and Science.Este trabajo ha sido parcialmente financiado por los siguientes proyectos: Mantra (GV/2011/035), Ministerio de Valencia, MANTRA (GRE09-17) de la Universidad de Alicante y por el MESOLAP (TIN2010-14860) proyecto del Ministerio de Educación y Ciencia de España.Facultad de Informátic

    Exploring grounded theory perspectives of cognitive load in software engineering

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    Closing Information Gaps with Need-driven Knowledge Sharing

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    Informationslücken schließen durch bedarfsgetriebenen Wissensaustausch Systeme zum asynchronen Wissensaustausch – wie Intranets, Wikis oder Dateiserver – leiden häufig unter mangelnden Nutzerbeiträgen. Ein Hauptgrund dafür ist, dass Informationsanbieter von Informationsuchenden entkoppelt, und deshalb nur wenig über deren Informationsbedarf gewahr sind. Zentrale Fragen des Wissensmanagements sind daher, welches Wissen besonders wertvoll ist und mit welchen Mitteln Wissensträger dazu motiviert werden können, es zu teilen. Diese Arbeit entwirft dazu den Ansatz des bedarfsgetriebenen Wissensaustauschs (NKS), der aus drei Elementen besteht. Zunächst werden dabei Indikatoren für den Informationsbedarf erhoben – insbesondere Suchanfragen – über deren Aggregation eine fortlaufende Prognose des organisationalen Informationsbedarfs (OIN) abgeleitet wird. Durch den Abgleich mit vorhandenen Informationen in persönlichen und geteilten Informationsräumen werden daraus organisationale Informationslücken (OIG) ermittelt, die auf fehlende Informationen hindeuten. Diese Lücken werden mit Hilfe so genannter Mediationsdienste und Mediationsräume transparent gemacht. Diese helfen Aufmerksamkeit für organisationale Informationsbedürfnisse zu schaffen und den Wissensaustausch zu steuern. Die konkrete Umsetzung von NKS wird durch drei unterschiedliche Anwendungen illustriert, die allesamt auf bewährten Wissensmanagementsystemen aufbauen. Bei der Inversen Suche handelt es sich um ein Werkzeug das Wissensträgern vorschlägt Dokumente aus ihrem persönlichen Informationsraum zu teilen, um damit organisationale Informationslücken zu schließen. Woogle erweitert herkömmliche Wiki-Systeme um Steuerungsinstrumente zur Erkennung und Priorisierung fehlender Informationen, so dass die Weiterentwicklung der Wiki-Inhalte nachfrageorientiert gestaltet werden kann. Auf ähnliche Weise steuert Semantic Need, eine Erweiterung für Semantic MediaWiki, die Erfassung von strukturierten, semantischen Daten basierend auf Informationsbedarf der in Form strukturierter Anfragen vorliegt. Die Umsetzung und Evaluation der drei Werkzeuge zeigt, dass bedarfsgetriebener Wissensaustausch technisch realisierbar ist und eine wichtige Ergänzung für das Wissensmanagement sein kann. Darüber hinaus bietet das Konzept der Mediationsdienste und Mediationsräume einen Rahmen für die Analyse und Gestaltung von Werkzeugen gemäß der NKS-Prinzipien. Schließlich liefert der hier vorstellte Ansatz auch Impulse für die Weiterentwicklung von Internetdiensten und -Infrastrukturen wie der Wikipedia oder dem Semantic Web

    A Scalable Design Framework for Variability Management in Large-Scale Software Product Lines

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    Variability management is one of the major challenges in software product line adoption, since it needs to be efficiently managed at various levels of the software product line development process (e.g., requirement analysis, design, implementation, etc.). One of the main challenges within variability management is the handling and effective visualization of large-scale (industry-size) models, which in many projects, can reach the order of thousands, along with the dependency relationships that exist among them. These have raised many concerns regarding the scalability of current variability management tools and techniques and their lack of industrial adoption. To address the scalability issues, this work employed a combination of quantitative and qualitative research methods to identify the reasons behind the limited scalability of existing variability management tools and techniques. In addition to producing a comprehensive catalogue of existing tools, the outcome form this stage helped understand the major limitations of existing tools. Based on the findings, a novel approach was created for managing variability that employed two main principles for supporting scalability. First, the separation-of-concerns principle was employed by creating multiple views of variability models to alleviate information overload. Second, hyperbolic trees were used to visualise models (compared to Euclidian space trees traditionally used). The result was an approach that can represent models encompassing hundreds of variability points and complex relationships. These concepts were demonstrated by implementing them in an existing variability management tool and using it to model a real-life product line with over a thousand variability points. Finally, in order to assess the work, an evaluation framework was designed based on various established usability assessment best practices and standards. The framework was then used with several case studies to benchmark the performance of this work against other existing tools

    Languages of games and play: A systematic mapping study

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    Digital games are a powerful means for creating enticing, beautiful, educational, and often highly addictive interactive experiences that impact the lives of billions of players worldwide. We explore what informs the design and construction of good games to learn how to speed-up game development. In particular, we study to what extent languages, notations, patterns, and tools, can offer experts theoretical foundations, systematic techniques, and practical solutions they need to raise their productivity and improve the quality of games and play. Despite the growing number of publications on this topic there is currently no overview describing the state-of-the-art that relates research areas, goals, and applications. As a result, efforts and successes are often one-off, lessons learned go overlooked, language reuse remains minimal, and opportunities for collaboration and synergy are lost. We present a systematic map that identifies relevant publications and gives an overview of research areas and publication venues. In addition, we categorize research perspectives along common objectives, techniques, and approaches, illustrated by summaries of selected languages. Finally, we distill challenges and opportunities for future research and development

    A Requirements Measurement Program for Systems Engineering Projects: Metrics, Indicators, Models, and Tools for Internal Stakeholders

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    Software engineering (SE) measurement has shown to lead to improved quality and productivity in software and systems projects and, thus, has received significant attention in the literature, particularly for the design and development stages. In requirements engineering (RE), research and practice has recognized the importance of requirements measurement (RM) for tracking progress, identifying gaps in downstream deliverables related to requirements, managing requirements-related risks, reducing requirements errors and defects, and project management and decision making. However, despite the recognized benefits of RM, research indicates that only 5\% of the literature on SE measurement addresses requirements. This small percentage is reflected in the lack of well-defined and ready to use requirements metrics, approaches, tools, and frameworks that would enable the effective implementation and management of a RM program. Such a program would, in turn, provide the various internal stakeholders with various quantitative requirements-driven information (e.g., measures, indicators, and analytics, etc.) in order for them to better manage, control, and track their respective process activities. This shortage makes the process of RM, at best, complicated and, at worst, non-existent in most projects. The RM process is further complicated in large systems engineering projects due to large project sizes, numerous internal stakeholders, time pressure, large numbers of requirements, other software artifacts, to name a few. This integrated-article thesis aims to address the aforementioned problem through the following main contributions that have been researched and validated within the context of a large systems engineering project in the rail-automation domain: (i) an empirically derived and validated structured requirements metric suite; (ii) an approach for deriving and organizing requirements metrics and related information; (iii) a requirements-centric, measurement-based health assessment framework; (iv) a meta-model for managing requirements -driven information for internal stakeholders; (v) a prototype requirements dashboard that builds upon and automates the concepts in i, ii, iii, and iv. These contributions have implications for research on RM through extending the body of work on RM and promulgating further research. For practice, the results of this thesis are anticipated to facilitate the implementation and management of RM programs in real-world projects
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