A Literature Review and Comparison of Three Feature Location Techniques using ArgoUML-SPL

Cruz, Daniel Felipe; Figueiredo, Eduardo; Martínez, Jabier

doi:10.1145/3302333.3302343

Cited by 24 publications

(20 citation statements)

References 42 publications

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“…In addition, our empirical analysis showed that features have been changed over time by adding or removing an entire file and/or fewer lines. The information retrieved from the mapping between artifacts and features in relation to the relevant information was compared by measuring precision, recall, and F1 score, which are metrics commonly used to evaluate feature location techniques [5,21,23]. In summary, we achieved higher precision and recall for information retrieved from the systems' variants, ranging from 99%-100% and 93%-99%, respectively, at filelevel and line-level granularity.…”

Section: Evaluating the Efficiency Of A Technique For Locating Featurmentioning

confidence: 95%

Evolving System Families in Space and Time

Michelon

2020

Proceedings of the 24th ACM International Systems and Software Product Line Conference - Volume B

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Managing the evolution of system families in space and time, i.e., system variants and their revisions is still an open challenge. The software product line (SPL) approach can support the management of product variants in space by reusing a common set of features. However, feature changes over time are often necessary due to adaptations and/or bug fixes, leading to different product versions. Such changes are commonly tracked in version control systems (VCSs). However, VCSs only deal with the change history of source code, and, even though their branching mechanisms allow to develop features in isolation, VCS does not allow propagating changes across variants. Variation control systems have been developed to support more fine-grained management of variants and to allow tracking of changes at the level of files or features. However, these systems are also limited regarding the types and granularity of artifacts. Also, they are cognitively very demanding with increasing numbers of revisions and variants. Furthermore, propagating specific changes over variants of a system is still a complex task that also depends on the variability-aware change impacts. Based on these existing limitations, the goal of this doctoral work is to investigate and define a flexible and unified approach to allow an easy and scalable evolution of SPLs in space and time. The expected contributions will aid the management of SPL products and support engineers to reason about the potential impact of changes during SPL evolution. To evaluate the approach, we plan to conduct case studies with real-world SPLs.

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Section: Evaluating the Efficiency Of A Technique For Locating Featurmentioning

confidence: 95%

Evolving System Families in Space and Time

Michelon

2020

Proceedings of the 24th ACM International Systems and Software Product Line Conference - Volume B

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“…In the software product line community it is used as a realistic case study for demonstrating the basic challenges for refactoring a single code base system with variability into an SPL [8]. The extracted ArgoUML-SPL, with its ground truth, was also recently proposed [22] and used [9,23] as a benchmark for evaluating the feature location techniques. The considered ArgoUML-SPL ground truth [22] consists of a feature model (FM) and traces of its optional features to the annotated reusable code assets.…”

Section: Argouml-spl Ground Truthmentioning

confidence: 99%

“…Specifically, the highest tangling have exactly the 8 optional features, which have in common two vp-s and/or variants, or 0.34% of them. This indicates that different features are partially implemented by a given vp or variant 9 . Therefore, features have an N to 1 mapping in code assets.…”

Section: S T a T Ementioning

confidence: 99%

“…Since Couto et al [8] extracted the ArgoUML-SPL, it has been proposed [22] and extensively used [9,21,23] as a benchmark for reverse engineering variability and evaluating feature location techniques [4,25]. In contrast, our variability identification and visualization approach is more a tool support for understanding implemented variability in forward engineering [30].…”

Section: Related Workmentioning

confidence: 99%

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Mapping features to automatically identified object-oriented variability implementations

Mortara

Tërnava

Collet

2020

Proceedings of the 14th International Working Conference on Variability Modelling of Software-Intensive Systems

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In Software Product Line (SPL) engineering, mapping domain features to existing code assets is essential for variability management. When variability is already implemented through Object-Oriented (OO) techniques, it is too costly and error-prone to refactor assets in terms of features or to use feature annotations. In this work, we delve into the possible usage of automatically identified variation points with variants in an OO code base to enable feature mapping from the domain level. We report on an experiment conducted over ArgoUML-SPL, using its code as input for automatic detection through the symfinder toolchain, and the previously devised domain features as a ground truth. We analyse the relevance of the identified variation points with variants w.r.t. domain features, adapting precision and recall measures. This shows that the approach is feasible, that an automatic mapping can be envisaged, and also that the symfinder visualization is adapted to this process with some slight additions. CCS CONCEPTS • Software and its engineering → Software product lines.

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“…Retrieving the variability of existing systems can be a tedious task, especially when done manually. Several Feature Extraction and Identification approaches have been proposed to automatically reveal and analyze variability in various artifacts [3,13,24,27].…”

Section: Feature Extractionmentioning

confidence: 99%

Variability Transformation from Industrial Engineering Artifacts

Feichtinger

Meixner

Rabiser

et al. 2020

Proceedings of the 24th ACM International Systems and Software Product Line Conference - Volume B

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Many variability modeling approaches have been proposed to explicitly represent the commonalities and variability in (software) product lines. Unfortunately, practitioners in industry still develop custom solutions to manage variability of various artifacts, like requirements documents or design spreadsheets. These customdeveloped variability representations often miss important variability information, e.g., information required to assemble production goods. In this paper, we introduce the Variability Evolution Roundtrip Transformation (VERT) process. The process enables practitioners from the Cyber-Physical Production Systems domain to transform custom-developed engineering variability artifacts to a feature model, evolve and optimize the model, and transform it back to the original engineering artifacts. We build on an existing transformation approach for variability models and show the feasibility of the process using a real-world use case from an industry partner. We report on an initial feasibility study conducted with our industry partners' domain experts and on lessons learned regarding variability transformation of engineering variability artifacts. CCS CONCEPTS • Software and its engineering → Software product lines.

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A Literature Review and Comparison of Three Feature Location Techniques using ArgoUML-SPL

Cited by 24 publications

References 42 publications

Evolving System Families in Space and Time

Evolving System Families in Space and Time

Mapping features to automatically identified object-oriented variability implementations

Variability Transformation from Industrial Engineering Artifacts

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