Defects in Product Line Models and How to Identify Them

Salinesi, Camille; Mazo, Raúl

doi:10.5772/35662

Cited by 16 publications

(20 citation statements)

References 39 publications

(25 reference statements)

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“…In this paper, we are interested in semantic defects of FMs. These defects are imperfections that affect the ability of FMs to represent all desired products [35], and consequently adversely affect the semantics of the model. Next, we present the most common semantic defects found in FMs.…”

Section: Semantics Defects In Feature Modelsmentioning

confidence: 99%

“…• Dead features: these features are not present in any valid product derived from the product line, although they are part of the FM [35,43].…”

Section: Semantics Defects In Feature Modelsmentioning

confidence: 99%

“…• False optional features: these features are declared as optional in the FM but they are present in all valid products derived from the product line [35,40,43].…”

Section: Semantics Defects In Feature Modelsmentioning

confidence: 99%

“…Redundancies take place when FM has the same information modeled in different ways [35,43]. Although there may be cases where the designer intentionally introduces redundancy in the FM.…”

Section: Semantics Defects In Feature Modelsmentioning

confidence: 99%

“…Although there may be cases where the designer intentionally introduces redundancy in the FM. In this paper, all identified redundancies are considered defects, because redundancies are a problem for the evolution of FMs [35].…”

Section: Semantics Defects In Feature Modelsmentioning

confidence: 99%

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Method to Identify Corrections of Defects on Product Line Models

Rincón

Giraldo

Mazo

et al. 2015

Electronic Notes in Theoretical Computer Science

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Software product line engineering is a promising paradigm for developing software intensive systems. Among their proven benefits are reduced time to market, better asset reuse and improved software quality. To achieve this, the collection of products of the product line are specified by means of product line models. Feature Models (FMs) are a common notation to represent product lines that express the set of feature combinations that software products can have. Experience shows that these models can have defects. Defects in FMs be inherited to the products configured from these models. Consequently, defects must be early identified and corrected. Several works reported in scientific literature, deal with identification of defects in FMs. However, only few of these proposals are able to explain how to fix defects, and only some corrections are suggested. This paper proposes a new method to detect all possible corrections from a defective product line model. The originality of the contribution is that corrections can be found when the method systematically eliminates dependencies from the FMs. The proposed method was applied on 78 distinct FMs with sizes up to 120 dependencies. Evaluation indicates that the method proposed in this paper scale up, is accurate, and sometimes useful in real scenarios.

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Section: Semantics Defects In Feature Modelsmentioning

confidence: 99%

“…• Dead features: these features are not present in any valid product derived from the product line, although they are part of the FM [35,43].…”

Section: Semantics Defects In Feature Modelsmentioning

confidence: 99%

“…• False optional features: these features are declared as optional in the FM but they are present in all valid products derived from the product line [35,40,43].…”

Section: Semantics Defects In Feature Modelsmentioning

confidence: 99%

“…Redundancies take place when FM has the same information modeled in different ways [35,43]. Although there may be cases where the designer intentionally introduces redundancy in the FM.…”

Section: Semantics Defects In Feature Modelsmentioning

confidence: 99%

Section: Semantics Defects In Feature Modelsmentioning

confidence: 99%

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