A Linked Data platform for mining software repositories

Keivanloo,; Hmood,; Erfani,; Neal,; Peristerakis,; Rilling,

doi:10.1109/msr.2012.6224296

Cited by 35 publications

(23 citation statements)

References 8 publications

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“…In particular, we can extend our study to the entire open source software world, similar to large-scale repositories mining approaches proposed with SourcererDB [13] or SeCOLD [14]. Moreover, tuning our approach the commit granularity level of version control systems would allow to target more precisely migration rules.…”

Section: Discussionmentioning

confidence: 96%

Mining Library Migration Graphs

Teyton

Falleri

Blanc

2012

2012 19th Working Conference on Reverse Engineering

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International audienceSoftware systems intensively depend on external libraries, chosen at conception time. However, relevance of any library irremediably changes during projects and/or library life cycle. As a consequence, projects developers must periodically reconsider the libraries they depend on, and must think about library migration. When they want to migrate their libraries, they then have to identify candidate libraries that offer similar facilities and thus can substitute to each other. They also have to compare candidates to choose the one that best fits their needs. Finding a relevant library replacement is a well known tedious and time-consuming task. In this paper, we propose an approach that identifies sets of similar libraries and that produces what we call library migration graphs that show how existing projects have performed migrations among them. These graphs, constructed from the observation of a large number of software projects, ease the discovery and selection of library replacement

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Section: Discussionmentioning

confidence: 96%

Mining Library Migration Graphs

Teyton

Falleri

Blanc

2012

2012 19th Working Conference on Reverse Engineering

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“…For our experiment we used the second version of IJaDataset, which was constructed using raw data crawled in 2012 [3]. The dataset covers source code of approximately 25,000 open source Java projects.…”

Section: A Corpus -Ijadataset 20mentioning

confidence: 99%

“…We thank the developers of the tools used in this study, as well as Dr. Rilling and co-authors of our earlier publications on the shuffling framework [2] and IJaDataset [3].…”

Section: Acknowledgementsmentioning

confidence: 99%

“…Here we evaluate our framework's performance for the ultra large inter-project dataset IJaDataset 2.0 [3] using a selection of classical clone detection tools, including Deckard [4], NiCad [5], iClones [6], Simian [7], SimCad [8] and CCFinderX [9]. This study reports our observations and the challenges faced in executing our framework for these tools and dataset.…”

Section: Introductionmentioning

confidence: 99%

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Scaling classical clone detection tools for ultra-large datasets: An exploratory study

Svajlenko

Keivanloo

Roy

2013

2013 7th International Workshop on Software Clones (IWSC)

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Detecting clones from large datasets is an interesting research topic for a number of reasons. However, building scalable clone detection tools is challenging and it is often impossible to use existing state of the art tools for such large datasets. In this research we have investigated the use of our Shuffling Framework for scaling classical clone detection tools to ultra large datasets. This framework achieves scalability on standard hardware by partitioning the dataset and shuffling the partitions over a number of detection rounds. This approach does not require modification to the subject tools, which allows their individual strengths and precisions to be captured at an acceptable loss of recall. In our study, we explored the performance and applicability of our framework for six clone detection tools. The clones found during our experiment were used to comment on the cloning habits of the global Java opensource development community.

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“…A Linked Data platform for publishing data sets of software repositories is presented in [23]. The authors use RDF as representation formalisms and restrict OWL representations to object-oriented source code.…”

Section: B the Semantic Minermentioning

confidence: 99%

Towards a Marketplace of Open Source Software Data

Parreiras

Gröner

Schwabe

et al. 2015

2015 48th Hawaii International Conference on System Sciences

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Development, distribution and use of open source software comprise a market of data (source code, bug reports, documentation, number of downloads, etc.) from projects, developers and users. This large amount of data hampers people to make sense of implicit links between software projects, e.g., dependencies, patterns, licenses. This context raises the question of what techniques and mechanisms can be used to help users and developers to link related pieces of information across software projects. In this paper, we propose a framework for a marketplace enhanced using linked open data (LOD) technology for linking software artifacts within projects as well as across software projects. The marketplace provides the infrastructure for collecting and aggregating software engineering data as well as developing services for mining, statistics, analytics and visualization of software data. Based on crosslinking software artifacts and projects, the marketplace enables developers and users to understand the individual value of components and their relationship to bigger software systems. Improved understanding creates new business opportunities for software companies: users will be able to analyze and compare projects, developers can increase the visibility of their products, and hosts may offer plugins and services over the data to paying customers.

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A Linked Data platform for mining software repositories

Cited by 35 publications

References 8 publications

Mining Library Migration Graphs

Mining Library Migration Graphs

Scaling classical clone detection tools for ultra-large datasets: An exploratory study

Towards a Marketplace of Open Source Software Data

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