The Qualitas Corpus: A Curated Collection of Java Code for Empirical Studies

Tempero, Ewan; Anslow, Craig; Dietrich, Jens; Han, Sejin; Li, Jing; Lumpe, Markus; Melton, Hayden; Noble, James

doi:10.1109/apsec.2010.46

Cited by 321 publications

(184 citation statements)

References 23 publications

(25 reference statements)

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“…Other datasets provided in the past [12,16] have not contained test classes; they have been considered as outside the system. In this dataset, we voluntarily decided to maintain test classes, since the role that these classes play in the development process and the inextricable relationship they have with production code is an area that has been largely neglected in recent years [15,17].…”

Section: Datasetmentioning

confidence: 99%

113 times Tomcat: A dataset

Destefanis

Arzoky

Counsell

et al. 2018

Preprint

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Abstract. Measuring software to get information about its properties and quality is one of the main issues in modern software engineering. The aim of this paper is to present a dataset of metrics associated to 113 versions of Tomcat. We describe the dataset along with the adopted criteria and the opportunities of research, providing preliminary results. This dataset can enhance the reliability of empirical studies, enabling their reproducibility, reducing their cost, and it can foster further research on software quality and software metrics.

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Section: Datasetmentioning

confidence: 99%

113 times Tomcat: A dataset

Destefanis

Arzoky

Counsell

et al. 2018

Preprint

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“…We ran our ecosystem analysis on the QualitasCorpus [13] version 20120401r, which contains 112 systems written in Java 2 . We uses QualitasCorpus as a snapshot of a software ecosystem because all the projects in the QualitasCorpus share dependencies towards a set of libraries, and some depend on other projects from the QualitasCorpus.…”

Section: Methodsmentioning

confidence: 99%

Overthrowing the Tyranny of Alphabetical Ordering in Documentation Systems

Spasojevic

Lungu

Nierstrasz

2014

2014 IEEE International Conference on Software Maintenance and Evolution

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Abstract-Software developers are often unsure of the exact name of the API method they need to use to invoke the desired behavior. Most state-of-the-art documentation browsers present API artefacts in alphabetical order. Albeit easy to implement, alphabetical order does not help much: if the developer knew the name of the required method, he could have just searched for it in the first place.In a context where multiple projects use the same API, and their source code is available, we can improve the API presentation by organizing the elements in the order in which they are more likely to be used by the developer. Usage frequency data for methods is gathered by analyzing other projects from the same ecosystem and this data is used then to improve tools.We present a preliminary study on the potential of this approach to improve the API presentation by reducing the time it takes to find the method that implements a given feature. We also briefly present our experience with two proof-of-concept tools implemented for Smalltalk and Java.

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“…1) Java: Qualitas Corpus [5] is one of the most used software corpora available today. It is a curated collection of software systems consisting of more than 100 popular open source Java projects.…”

Section: The Data Repositorymentioning

confidence: 99%

Pangea: A Workbench for Statically Analyzing Multi-language Software Corpora

Caracciolo

Chiș

Spasojevic

et al. 2014

2014 IEEE 14th International Working Conference on Source Code Analysis and Manipulation

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Abstract-Software corpora facilitate reproducibility of analyses, however, static analysis for an entire corpus still requires considerable effort, often duplicated unnecessarily by multiple users. Moreover, most corpora are designed for single languages increasing the effort for cross-language analysis. To address these aspects we propose Pangea, an infrastructure allowing fast development of static analyses on multi-language corpora. Pangea uses language-independent meta-models stored as object model snapshots that can be directly loaded into memory and queryed without any parsing overhead. To reduce the effort of performing static analyses, Pangea provides out-of-the box support for: creating and refining analyses in a dedicated environment, deploying an analysis on an entire corpus, using a runner that supports parallel execution, and exporting results in various formats. In this tool demonstration we introduce Pangea and provide several usage scenarios that illustrate how it reduces the cost of analysis.

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The Qualitas Corpus: A Curated Collection of Java Code for Empirical Studies

Cited by 321 publications

References 23 publications

113 times Tomcat: A dataset

113 times Tomcat: A dataset

Overthrowing the Tyranny of Alphabetical Ordering in Documentation Systems

Pangea: A Workbench for Statically Analyzing Multi-language Software Corpora

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