Feature Location in a Collection of Software Product Variants Using Formal Concept Analysis

Al-Msie’deen, Ra’Fat; Seriai, Abdelhak-Djamel; Huchard, Marianne; Urtado, Christelle; Vauttier, Sylvain; Salman, Hamzeh Eyal

doi:10.1007/978-3-642-38977-1_22

Cited by 26 publications

(26 citation statements)

References 13 publications

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“…Depending on the granularity, feature location can focus on code fragments in the case of source code [27,28,29,30], model fragments in the context of models [31] or software components in software architectures [19,20,21,22,23,24]. Therefore, existing techniques are composed of two phases: An abstraction phase, where the different artefact variants are abstracted, and the location phase where algorithms analyse or compare the different product variants to obtain the implementation elements associated to each feature.…”

Section: Background On Feature Location In Feature-based Variantsmentioning

confidence: 99%

Feature location benchmark for extractive software product line adoption research using realistic and synthetic Eclipse variants

Martínez

Ziadi

Papadakis

et al. 2018

Information and Software Technology

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Context: It is common belief that high impact research in software reuse requires assessment in non-trivial, comparable, and reproducible settings. However, software artefacts and common representations are usually unavailable. Also, establishing a representative ground truth is a challenging and debatable subject. Feature location in the context of software families, which is key for software product line adoption, is a research field that is becoming more mature with a high proliferation of techniques. Objective: We present EFLBench, a benchmark and a framework to provide a common ground for the evaluation of feature location techniques in families of systems. Method: EFLBench leverages the efforts made by the Eclipse Community which provides feature-based family artefacts and their plugin-based implementations. Eclipse is an active and non-trivial project and thus, it establishes an unbiased ground truth which is realistic and challenging. Results: EFLBench is publicly available and supports all tasks for feature location techniques integration, benchmark construction and benchmark usage. We demonstrate its usage, simplicity and reproducibility by comparing four techniques in Eclipse releases. As an extension of our previously published work, we consider a decade of Eclipse releases and we also contribute an approach to automatically generate synthetic Eclipse variants to benchmark feature location techniques in tailored settings. We present and discuss three strategies for this automatic generation and we present the results using different settings. Conclusion: EFLBench is a contribution to foster the research in feature location in families of systems providing a common framework and a set of baseline techniques and results.

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Section: Background On Feature Location In Feature-based Variantsmentioning

confidence: 99%

Feature location benchmark for extractive software product line adoption research using realistic and synthetic Eclipse variants

Martínez

Ziadi

Papadakis

et al. 2018

Information and Software Technology

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“…Moreover, Iris approach used only the source code of software variants as inputs of the software metrics mining process. Also Iris extracts the source code of each software variant based on the static code analysis 14 . Iris code parser used to access and read the source code of software systems.…”

Section: Extracting Software Codementioning

confidence: 99%

Impact of the Object-oriented Software Evolution on Software Metrics: The Iris Approach

Al-Msie’deen

Blasi

2018

Indian Journal of Science and Technology

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The Object-Oriented (OO) software system evolves over the time to meet the new requirements. Based on the initial release of software, the continuous modification of software code leads to software evolution. Software needs to evolve over the time to meet the new user's requirements. Software companies often develop variant software of the original one depends on customers' needs. The main hypothesis of this paper states that the software when it evolves over the time, its code continues to grow, change and become more complex. This paper proposes an automatic approach (Iris) to examine the proposed hypothesis. Originality of this approach is the exploiting of the software variants to study the impact of software evolution on the software metrics. This paper presents the results of experiments conducted on three releases of drawing shapes software, sixteen releases of rhino software, eight releases of mobile media software and ten releases of ArgoUML software. Based on the extracted software metrics, It has been found that Iris hypothesis is supported by the computed metrics.

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“…However, depending on the nature of the variants, this can concern code fragments in the case of source code [2,11,23,34], model fragments in the context of models [12,20] or software components in software architectures [1,14]. Therefore, existing techniques are composed of the following two phases: 1) Abstraction, where the different product variants are abstracted and represented as implementation elements; 2) Location, where algorithms analyse and compare the different product variants to create groups of implementation elements.…”

Section: Feature Locationmentioning

confidence: 99%

“…In addition, the granularity of the sought implementation elements may vary from coarse to fine [16]. Some use fine granularity using AST nodes that cover all source code statements while others use purposely a little bit bigger granularity using object-oriented building elements [2] Continuing with Eclipse terminology, a simultaneous release (release hereafter) is a set of packages which are public under the supervision of the Eclipse Foundation. Every year, there is one main release, in June, which is followed by two service releases for maintenance purposes: SR1 and SR2 usually around September and February.…”

Section: Feature Locationmentioning

confidence: 99%

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Feature Location Benchmark for Software Families Using Eclipse Community Releases

Martínez¹,

Ziadi²,

Papadakis³

et al. 2016

Lecture Notes in Computer Science

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Abstract. It is common belief that high impact research in software reuse requires assessment in realistic, non-trivial, comparable, and reproducible settings. However, real software artefacts and common representations are usually unavailable. Also, establishing a representative ground truth is a challenging and debatable subject. Feature location in the context of software families is a research field that is becoming more mature with a high proliferation of techniques. We present EFLBench, a benchmark and a framework to provide a common ground for this field. EFLBench leverages the efforts made by the Eclipse Community which provides real feature-based family artefacts and their implementations. Eclipse is an active and non-trivial project and thus, it establishes an unbiased ground truth. EFLBench is publicly available and supports all tasks for feature location techniques integration, benchmark construction and benchmark usage. We demonstrate its usage and its simplicity and reproducibility by comparing four techniques.

show abstract

Feature Location in a Collection of Software Product Variants Using Formal Concept Analysis

Cited by 26 publications

References 13 publications

Feature location benchmark for extractive software product line adoption research using realistic and synthetic Eclipse variants

Feature location benchmark for extractive software product line adoption research using realistic and synthetic Eclipse variants

Impact of the Object-oriented Software Evolution on Software Metrics: The Iris Approach

Feature Location Benchmark for Software Families Using Eclipse Community Releases

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