2 research outputs found

    Software product quality requirements engineering method : SOQUAREM

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    The IT industry needs reliable data about Quality Requirements (QRs) to adequately evaluate systems and their architecture. Quality requirements management of the software product is an emerging discipline aiming to enhance the software product quality by addressing its quality requirements. Dealing with this kind of requirements is not easy and implies much effort from practitioners, better involvement of interested stakeholders and a solid knowledge in quality management techniques. In fact they are vague, difficult to define and often conflict with other requirements. New approaches toward QRs management are developed to resolve problems of traditional software engineering views as: a) lack of systematic guidelines on how to elicit QRs; b) difficulty to identify QRs and to represent them in models and processes. In the context of a proposal for a SOftware product QUAlity Requirements Engineering Method (SOQUAREM), this thesis provides a structured QRs engineering process with its supporting ISO/IEC SQuaRE 25030 standard, management techniques and concepts. SOQUAREM process spans 2 high levels of abstraction (business and system) and six conceptual phases such as: identification and refinement of business goals, derivation and consolidation of the quality attributes and their integration into the functional process. The proposed SOQUAREM illustrates in a structured and easy to use way how several concepts can be combined at different organizational levels to identify, represent, document and retrace quality attributes. This document is divided into six chapters: the first chapter presents a background and related work on "Quality requirements" in general and on various quality requirements management methods such as MOQARE (Misuse-Oriented QuAlity Requirements Engineering)), IESE NFR (Institute for Experimental Software Engineering Non Functional Requirements), Soft Goal Notation (Chung Framework), FDAF (Formal Design and Analysis Framework) and ATAM (Architecture Tradeoff Analysis Method). The second chapter introduces the research topic with its objectives, its limits, the research methodology and research steps. The third chapter describes the research execution by analyzing the current situation of quality requirements with the resulted indicators from academic and industrial environments and formulating the future requirements of the proposed research solution. An overview of the innovative aspects of proposed method like its specific features, metamodel, building process, and process structure are pinpointed. The fourth chapter describes primarily the most important parts of the research which are the development of a new quality requirements engineering method called SOftware product QUAlity Requirements Engineering Method including fundamentals, key concepts and a process model. The fifth chapter presents an illustrative example applied to a building automation system called MSLite. Applicability of SOQUAREM process in this example is developed and analyzed. The last chapter presents a conclusion on this research work and its expected evolution in the future

    Evaluating Evolutionary Software Systems

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    Abstract. non-functional requirements (NFRs) of software-intensive systems that are under continuous evolution should be evaluated during early development phases in order to be able to improve those systems and achieve ‘time-tomarket’. However, current evaluations are often done during late stages, like coding and testing. In this paper we propose an approach to evaluate NFRs earlier. The requirements for this approach are the use of flexible and reusable quality models, which can deal with little data, that are transparent and measurement-based. Our approach, called Prometheus, is a way of modeling NFRs that should cope with those requirements. Prometheus applies the quality modeling concept from the SQUID approach, the probability concept of Bayesian Belief Nets (BBNs) and the specification concepts of the Goal Question Metric (GQM) approach. 1
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