A Novel Approach to Detect Unintentional Re-implementations

Bauer, Veronika; Jürgens, Elmar

doi:10.1109/icsme.2014.80

Cited by 7 publications

(11 citation statements)

References 33 publications

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“…To mitigate this, we only consider identifiers present in declarations of methods, fields, and classes, as well as contained parameters. Previous work [6] suggests that this improves precision in locating the implementations of a concept. Further exclusions Due to the nature of object oriented programming languages, classes implementing an interface or classes inheriting from a parent share a significant part of their vocabulary.…”

Section: B Implementation Of An Lsi-based Approachmentioning

confidence: 99%

“…The implementation is inspired by previous work [6], as well as by the proposal by [29]. Intuition Our implementation proceeds as follows (see Figure 1): it takes as input a body of source code in which we look for re-implementations.…”

Section: B Implementation Of An Lsi-based Approachmentioning

confidence: 99%

“…As a result, we obtain pairs of files with an associated similarity score. For further details, see [6], [5]. Identifiers By resorting to identifiers, we overcome the problem of restricting similarity to a syntactic level.…”

Section: B Implementation Of An Lsi-based Approachmentioning

confidence: 99%

“…LSI-based approach Previous [6], [5] and related work (see Section VIII) have indicated the suitability of IR techniques, particularly LSI, for our goal. However, we identify the challenge that, contrarily to clone detection, the LSI scores hardly decrease over the inspected range of pairs.…”

Section: A Lessons Learnedmentioning

confidence: 99%

“…For details, see[6] 2. In an Object Oriented context, the assumption of concepts being captured by classes, often represented in files, seems reasonable.…”

mentioning

confidence: 99%

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Combining Clone Detection and Latent Semantic Indexing to Detect Re-implementations

Bauer¹,

Eder²

2016

2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER)

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Semantic redundancies are frequently reported in practice and cause increased efforts for development and maintenance. However, instances are hard to find with existing approaches that tend to deliver a daunting number of imprecise findings for this specific problem.Can these issues be mitigated by combining different detection techniques? In this paper, we investigate whether a combination of clone detection and latent semantic indexing improves the detection of candidate re-implementations. We evaluate the combination of both techniques on an industrial system, assess the results of both techniques, characterize the different findings, and present a practitioner judgement of their relevance.Our findings suggest that (1) latent semantic indexing and clone detection complement each other, (2) aggregated clone detection can be a better indicator for re-implementations than LSI, and (3) the combination of the techniques provides high quality result sets which were considered relevant and actionable by practitioners.

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Section: B Implementation Of An Lsi-based Approachmentioning

confidence: 99%

Section: B Implementation Of An Lsi-based Approachmentioning

confidence: 99%

Section: B Implementation Of An Lsi-based Approachmentioning

confidence: 99%

Section: A Lessons Learnedmentioning

confidence: 99%

“…For details, see[6] 2. In an Object Oriented context, the assumption of concepts being captured by classes, often represented in files, seems reasonable.…”

mentioning

confidence: 99%

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Combining Clone Detection and Latent Semantic Indexing to Detect Re-implementations

Bauer¹,

Eder²

2016

2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER)

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Comparing reuse practices in two large software-producing companies

Bauer

Vetrò

2016

Journal of Systems and Software

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Context: Reuse can improve productivity and maintainability in software development. Research has proposed a wide range of methods and techniques. Are these successfully adopted in practice? Objective: We propose a preliminary answer by integrating two in-depth empirical studies on software reuse at two large software-producing companies. Method: We compare and interpret the study results with a focus on reuse practices, effects, and context. Results: Both companies perform pragmatic reuse of code produced within the company, not leveraging other available artefacts. Reusable entities are retrieved from a central repository, if present. Otherwise, direct communication with trusted colleagues is crucial for access. Reuse processes remain implicit and reflect the development style. In a homogeneous infrastructure-supported context, participants strongly agreed on higher development pace and less maintenance effort as reuse benefits. In a heterogeneous context with fragmented infrastructure, these benefits did not materialize. Neither case reports statistically significant evidence of negative side effects of reuse nor inhibitors. In both cases, a lack of reuse led to duplicate implementations. Conclusion: Technological advances have improved the way reuse concepts can be applied in practice. Homogeneity in development process and tool support seem necessary preconditions. Developing and adopting adequate reuse strategies in heterogeneous contexts remains challenging.

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Towards Informative Tagging of Code Fragments to Support the Investigation of Code Clones

Nishioka¹,

Kobayashi²

2021

2021 IEEE 15th International Workshop on Software Clones (IWSC)

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A Novel Approach to Detect Unintentional Re-implementations

Cited by 7 publications

References 33 publications

Combining Clone Detection and Latent Semantic Indexing to Detect Re-implementations

Combining Clone Detection and Latent Semantic Indexing to Detect Re-implementations

Comparing reuse practices in two large software-producing companies

Towards Informative Tagging of Code Fragments to Support the Investigation of Code Clones

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