A Classification and Survey of Analysis Strategies for Software Product Lines
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- Thomas Thüm
- University of Magdeburg, Germany
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- Sven Apel
- University of Passau, Germany
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- Christian Kästner
- Carnegie Mellon University, Pittsburgh, Pennsylvania
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- Ina Schaefer
- University of Braunschweig, Germany
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- Gunter Saake
- University of Magdeburg, Germany
書誌事項
- 公開日
- 2014-06
- 権利情報
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- https://www.acm.org/publications/policies/copyright_policy#Background
- DOI
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- 10.1145/2580950
- 公開者
- Association for Computing Machinery (ACM)
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説明
<jats:p>Software-product-line engineering has gained considerable momentum in recent years, both in industry and in academia. A software product line is a family of software products that share a common set of features. Software product lines challenge traditional analysis techniques, such as type checking, model checking, and theorem proving, in their quest of ensuring correctness and reliability of software. Simply creating and analyzing all products of a product line is usually not feasible, due to the potentially exponential number of valid feature combinations. Recently, researchers began to develop analysis techniques that take the distinguishing properties of software product lines into account, for example, by checking feature-related code in isolation or by exploiting variability information during analysis. The emerging field of product-line analyses is both broad and diverse, so it is difficult for researchers and practitioners to understand their similarities and differences. We propose a classification of product-line analyses to enable systematic research and application. Based on our insights with classifying and comparing a corpus of 123 research articles, we develop a research agenda to guide future research on product-line analyses.</jats:p>
収録刊行物
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- ACM Computing Surveys
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ACM Computing Surveys 47 (1), 1-45, 2014-06
Association for Computing Machinery (ACM)
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詳細情報 詳細情報について
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- CRID
- 1360580239804698112
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- DOI
- 10.1145/2580950
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- ISSN
- 15577341
- 03600300
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- データソース種別
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- Crossref