Feature-driven requirement dependency analysis and high-level software design

Zhang, Wei; Mei, Hong; Zhao, Haiyan

doi:10.1007/s00766-006-0033-x

Cited by 53 publications

(43 citation statements)

References 30 publications

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“…Gheyi et al [37] Mannion et al [51,52] Mendonca et al [57] Mendonca et al [56] Sun et al [74] Thüm et al [75] van der Storm [86,87] Zhang et al [102,101] Zhang et al [103] Yan et al [100] Benavides et al [10,11,12] Benavides et al [15] Djebii et al [34] Trinidad et al [78,76] White et al [99] White et al [97] Abo Zaid et al [1] Fan et al [35] Wang et al [92,93] Benavides et al [14] Benavides et al [16] Segura [70] Bachmeyer et al [4] Cao et al [20] Fernandez et al [36] Hemakumar [41] …”

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confidence: 99%

Automated analysis of feature models 20 years later: A literature review

Benavides

Segura

Ruiz–Cortés

2010

Information Systems

940

922

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Software product line engineering is about producing a set of related products that share more commonalities than variabilities. Feature models are widely used for variability and commonality management in software product lines. Feature models are information models where a set of products are represented as a set of features in a single model. The automated analysis of feature models deals with the computer-aided extraction of information from feature models. The literature on this topic has contributed with a set of operations, techniques, tools and empirical results which have not been surveyed until now. This paper provides a comprehensive literature review on the automated analysis of feature models 20 years after of their invention. This paper contributes by bringing together previously-disparate streams of work to help shed light on this thriving area. We also present a conceptual framework to understand the different proposals as well as categorise future contributions. We finally discuss the different studies and propose some challenges to be faced in the future.

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mentioning

confidence: 99%

Automated analysis of feature models 20 years later: A literature review

Benavides

Segura

Ruiz–Cortés

2010

Information Systems

940

922

View full text Add to dashboard Cite

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“…Our ICFL approach is inspired by two lines of research. First, research on domain engineering (Kang et al, 1990;Zhang et al, 2006) suggests that features are not independent of each other, for example, a feature may use, extend, or refine other features; features and their interdependencies form some forms of feature models (Peng et al, 2006). Furthermore, using appropriate reverse-engineering techniques (such as She et al, 2011;Dumitru et al, 2011;Yang et al, 2009), we can construct such feature models from existing requirement documents and source code with the help of domain experts.…”

Section: Introductionmentioning

confidence: 99%

Improving feature location using structural similarity and iterative graph mapping

Peng

Xing

Tan

et al. 2013

Journal of Systems and Software

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Abstract. Locating program element(s) relevant to a particular feature is an important step in efficient maintenance of a software system. The existing feature location techniques analyze each feature independently and perform a one-time analysis after being provided an initial input. As a result, these techniques are sensitive to the quality of the input. In this paper, we propose to address the above issues in feature location using an iterative context-aware approach. The underlying intuition is that features are not independent of each other, and the structure of source code resembles the structure of features. The distinguishing characteristics of the proposed approach are: (1) it takes into account the structural similarity between a feature and a program element to determine feature-element relevance; (2) it employs an iterative process to propagate the relevance of the established mappings between a feature and a program element to the neighboring features and program elements. We evaluate our approach using two different systems, DirectBank, a small-scale industry financial system, and Linux kernel, a large-scale open-source operating system. Our evaluation suggests that the proposed approach is more robust and can significantly increase the recall of feature location with only a minor decrease of precision.

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“…The usage of multiple modeling and mappings are done by (Savolainen, Vehkomäki et al 2002;Medvidovic, Grünbacher et al 2003;Lee and Kang 2004;Savolainen, Oliver et al 2005;Dhungana 2006;Sochos, Riebisch et al 2006;Zhang, Mei et al 2006;Zhu, Yuqin et al 2007;Gomaa and Shin 2008;Bragança and Machado 2009;Lin, Ye et al 2010). Among the approaches, Gomaa and Shin has the most comprehensive models used in their mappings (Gomaa and Shin 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the mapping to architecture is generally referred as architectural assets and no specific elements mentioned at the architectural level. Another approach is by featuredriven mapping which is among the most accepted approaches so far by researchers (Lee and Kang 2004;Dhungana 2006;Sochos, Riebisch et al 2006;Zhang, Mei et al 2006;Lin, Ye et al 2010). Nevertheless, these approaches seldom have an explicit representation of design decisions in order to records decisions that architects made while designing the domain architecture.…”

Section: Introductionmentioning

confidence: 99%