Structurally Heterogeneous Source Code Examples from Unstructured Knowledge Sources

Vinayakarao, Venkatesh; Purandare, Rahul; Nori, Aditya V.

doi:10.1145/2678015.2682537

Cited by 5 publications

(4 citation statements)

References 28 publications

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“…There are a variety of approaches to compute structural similarity of source code [49,50,51]. We used the de-duplication approach explained in [52] for its simplicity and effectiveness for method-level similarity computation. In this approach, code φ is transformed into a set of predefined terms ψ to represent programming structures.…”

Section: Problem Statementmentioning

confidence: 99%

“…CodeExchange [46], a code search engine, shows 16 recursive factorial results out of the first 20 results. Since we are only interested in diversity with respect to desired properties, we used the approach detailed in [52] to drop similar results at each rank. Figure 3 shows the results after application of structural heterogeneity.…”

Section: Problem Statementmentioning

confidence: 99%

“…To the best of our knowledge, this is the first characterization study on code variants. However, there is work on independent aspects related to variants such as automatically mining relevant code [54,55,14], and calculating similarity measures [52,36] on source code snippets. There is also work on extracting code contexts [22,23].…”

Section: Related Workmentioning

confidence: 99%

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Replacements and Replaceables: Making the Case for Code Variants

Vinayakarao,

Sondhi,

Keswani

et al. 2020

Preprint

Self Cite

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There are often multiple ways to implement the same requirement in source code. Different implementation choices can result in code snippets that are similar, and have been defined in multiple ways: code clones, examples, simions and variants. Currently, there is a lack of a consistent and unambiguous definition of such types of code snippets. Here we present a characterization study of code variants -a specific type of code snippets that differ from each other by at least one desired property, within a given code context. We distinguish code variants from other types of redundancies in source code, and demonstrate the significant role that they play: about 25% to 43% of developer discussions (in a set of nine open source projects) were about variants. We characterize different types of variants based on their code context and desired properties. As a demonstration of the possible use of our characterization of code variants, we show how search results can be ranked based on a desired property (e.g., speed of execution).

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Section: Problem Statementmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

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Replacements and Replaceables: Making the Case for Code Variants

Vinayakarao,

Sondhi,

Keswani

et al. 2020

Preprint

Self Cite

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show abstract

“…Vinayakarao et al (2015) proposed an automatic method aimed to create a corpus of structurally different but functionally alike source code samples from the unstructured sources. They utilized information retrieval and partial program analysis methods to reach a corpus of such code examples.…”

Section: Mining So For Software Developmentmentioning

confidence: 99%

A survey on mining stack overflow: question and answering (Q&A) community

Ahmad

Feng

Shi

et al. 2018

DTA

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Purpose Software developers extensively use stack overflow (SO) for knowledge sharing on software development. Thus, software engineering researchers have started mining the structured/unstructured data present in certain software repositories including the Q&A software developer community SO, with the aim to improve software development. The purpose of this paper is show that how academics/practitioners can get benefit from the valuable user-generated content shared on various online social networks, specifically from Q&A community SO for software development. Design/methodology/approach A comprehensive literature review was conducted and 166 research papers on SO were categorized about software development from the inception of SO till June 2016. Findings Most of the studies revolve around a limited number of software development tasks; approximately 70 percent of the papers used millions of posts data, applied basic machine learning methods, and conducted investigations semi-automatically and quantitative studies. Thus, future research should focus on the overcoming existing identified challenges and gaps. Practical implications The work on SO is classified into two main categories; “SO design and usage” and “SO content applications.” These categories not only give insights to Q&A forum providers about the shortcomings in design and usage of such forums but also provide ways to overcome them in future. It also enables software developers to exploit such forums for the identified under-utilized tasks of software development. Originality/value The study is the first of its kind to explore the work on SO about software development and makes an original contribution by presenting a comprehensive review, design/usage shortcomings of Q&A sites, and future research challenges.

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Spotting familiar code snippet structures for program comprehension

Vinayakarao

2015

Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering

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Structurally Heterogeneous Source Code Examples from Unstructured Knowledge Sources

Cited by 5 publications

References 28 publications

Replacements and Replaceables: Making the Case for Code Variants

Replacements and Replaceables: Making the Case for Code Variants

A survey on mining stack overflow: question and answering (Q&A) community

Spotting familiar code snippet structures for program comprehension

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