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1) Requirements Engineering: Setting the Context Part-1: State-of-the-Art Surveys of Requirements Engineering Process Research 2) Requirements Elicitation 3) Specification of Requirements Models 4) Requirements Prioritization 5) Requirements Interdependencies 6) Impact Analysis 7) Requirements Negotiation 8) Quality Assurance in Requirements Engineering Part-2: The Next Practice in Requirements Engineering 9) Modeling Goals and Reasoning with Them 10) Managing Large Repositories of Natural Language Requirements 11) Understanding Ambiguity in Requirements Engineering 12) Decision Support in Requirements Engineering 13) Market-Driven Requirements Engineering for Software Products 14) Requirements Engineering for Agile Methods 15) Requirements Engineering for Web-Based Information Systems Part-3: Studies and Industrial Experience 16) Requirements Engineering: A Case of Developing and Managing Quality Software Systems in the Public Sector 17) Good Quality Requirements in Unified Process 18) Requirements Experience in Practice: Studies of Six Companies 19) An Analysis of Empirical Requirements Survey Data 20) Requirements Engineering: Solutions and Trends

Engineering and Managing Software Requirements

Over more than two decades, numerous variability modeling techniques have been introduced in academia and industry. However, little is known about the actual use of these techniques. While dozens of experience reports on software product line engineering exist, only very few focus on variability modeling. This lack of empirical data threatens the validity of existing techniques, and hinders their improvement. As part of our effort to improve empirical understanding of variability modeling, we present the results of a survey questionnaire distributed to industrial practitioners. These results provide insights into application scenarios and perceived benefits of variability modeling, the notations and tools used, the scale of industrial models, and experienced challenges and mitigation strategies.

https://gsd.uwaterloo.ca/sites/default/files/2013-vamos-survey.pdf

A survey of variability modeling in industrial practice

Dynamic adaptation of service compositions with variability models

We consider requirements change due to system evolution which results from contextual forces such as the decision to standardise practices across subsidiaries of a company. Our experience with the financial branch of the French Renault group is that eliciting change requirements poses its own specific problems. We propose to model change as a set of gaps between the requirements specification of the current and the future system. Our approach is to define a generic typology of gaps to facilitate a precise definition of change requirements. It adopts a goal oriented requirements specification and shows how to customise the generic gap typology to this specific requirements representation formalism. The paper presents the approach to elicit gaps and illustrates it with the Renault case study.

Eliciting gaps in requirements change

Despite existing methodologies in the field, most requirements engineers are poorly trained to define security requirements. This is due to a considerable lack of security knowledge. Some security ontologies have been proposed, but a gap still exists between the two fields of security requirement engineering and ontologies. This paper is a survey, it proposes an analysis and a typology of existing security ontologies and their use for requirements definition.

/pdf/ontologies-for-security-requirements-a-literature-survey-and-29eqi3pg41.pdf

Ontologies for Security Requirements: A Literature Survey and Classification

A large number of multicriteria techniques have been developed to deal with different kinds of problems. Whereas each technique has pros and cons and can be more or less useful depending on the situation, few approaches were proposed to guide the selection of a technique adapted to a given situation. This paper presents a state of the art of the existing approaches for selecting MCDM techniques. The state of the art is structured with a framework that guides the analysis of each selection approach according to its own characteristics, and to the characteristics of the MCDM techniques that the approach helps to select. The state of the art has two outcomes: a comparative analysis of the presented approaches, and a collection of requirements for a "good" selection approach

MCDM Techniques Selection Approaches: State of the Art

Security is a concern that must be taken into consideration starting from the early stages of system development. Over the last two decades, researchers and engineers have developed a considerable number of methods for security requirements engineering. Some of them rely on the (re)use of security knowledge. Despite some existing surveys about security requirements engineering, there is not yet any reference for researchers and practitioners that presents in a systematic way the existing proposals, techniques, and tools related to security knowledge reuse in security requirements engineering. The aim of this paper is to fill this gap by looking into drawing a picture of the literature on knowledge and reuse in security requirements engineering. The questions we address are related to methods, techniques, modeling frameworks, and tools for and by reuse in security requirements engineering. We address these questions through a systematic mapping study. The mapping study was a literature review conducted with the goal of identifying, analyzing, and categorizing state-of-the-art research on our topic. This mapping study analyzes more than thirty approaches, covering 20 years of research in security requirements engineering. The contributions can be summarized as follows: (1) A framework was defined for analyzing and comparing the different proposals as well as categorizing future contributions related to knowledge reuse and security requirements engineering; (2) the different forms of knowledge representation and reuse were identified; and (3) previous surveys were updated. We conclude that most methods should introduce more reusable knowledge to manage security requirements.

/pdf/reusable-knowledge-in-security-requirements-engineering-a-101x7i4np9.pdf

Camille Salinesi

Papers

Dynamic adaptation of service compositions with variability models

Eliciting gaps in requirements change

Ontologies for Security Requirements: A Literature Survey and Classification

MCDM Techniques Selection Approaches: State of the Art

Reusable knowledge in security requirements engineering: a systematic mapping study