Assessing the Reusability of Source Code Components

Diamantopoulos, Themistoklis; Symeonidis, Andreas L.

doi:10.1007/978-3-030-30106-4_10

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…Concerning code similarity challenges, consider the potential application in code search engine scenarios. For example, when a developer submits a textual query looking for a "quicksort algorithm implementation", our dataset can not only help in retrieving relevant snippets, [10][11][12][13][14]19,45], but it can also rank them based on their readability or quality score [46,47]. Moreover, it can be used for pattern matching tasks, by detecting whether certain snippets follow nano-patterns, study how these nano-snippets are implemented, and even examine their readability [48].…”

Section: Discussionmentioning

confidence: 99%

Employing Source Code Quality Analytics for Enriching Code Snippets Data

Karanikiotis,

Diamantopoulos,

Symeonidis

2023

Data

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The availability of code snippets in online repositories like GitHub has led to an uptick in code reuse, this way further supporting an open-source component-based development paradigm. The likelihood of code reuse rises when the code components or snippets are of high quality, especially in terms of readability, making their integration and upkeep simpler. Toward this direction, we have developed a dataset of code snippets that takes into account both the functional and the quality characteristics of the snippets. The dataset is based on the CodeSearchNet corpus and comprises additional information, including static analysis metrics, code violations, readability assessments, and source code similarity metrics. Thus, using this dataset, both software researchers and practitioners can conveniently find and employ code snippets that satisfy diverse functional needs while also demonstrating excellent readability and maintainability.

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Section: Discussionmentioning

confidence: 99%

Employing Source Code Quality Analytics for Enriching Code Snippets Data

Karanikiotis,

Diamantopoulos,

Symeonidis

2023

Data

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“…Although there are plenty of such systems that exist, reusability of software components is not evaluated by these systems. To overcome this problem, the work by Diamantopoulos et al 42 presented a recommended system for source code components named QualBoa, which looks into both the quality and functionality of software component reuse. QualBoa provides a ranking that comprises not only functional equivalence to the query but also a reusability score based on a threshold of source code metrics.…”

Section: Background and Related Workmentioning

confidence: 99%

“…It ensures the quality (in terms of reliability and functionality delivered) and reduces the development time. There have been some existing studies that attempted to leverage the metadata stored in SCMSs [42][43][44] for different purposes. Online source code repositories such as GitHub and SourceForge provide the facility of searching for suitable source code.…”

Section: Metadata Of Source Code Management System (Scms)mentioning

confidence: 99%

A metadata driven process for assessing stability and reusability based on risk of change of software systems

Mehboob

Chong

2023

Softw Pract Exp

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Measuring and estimating the reusability of software components are important steps toward finding reusable candidates. Reuse of software components can aid in the reduction of the development cost of new software or maintenance of existing ones. However, assessing the reusability of software is a challenging task. Even if reusable candidates can be identified, developers will need to decide on the reuse strategies, that is, reuse as it is without any modification, or introduce new changes to the reusable candidate to fulfill requirements in the new environment or releases. Thus, the stability of the reusable candidates plays a pivotal role because it will influence the ease of reuse. Assessing and predicting the stability of potential reusable candidates becomes a significant and important step in software reuse. In this research, we propose to leverage on risk of change as a proxy to measure software stability, where the latter is also a proxy measure for software reuse. Based on experiments conducted on 29 open-source software with different sizes and application types hosted on GitHub, we found that classes with high impact and high risk of change should be avoided from being reused due to their instability, while those classes with low impact and risk of change should be given priority. The proposed work can aid in providing a better understanding of the ease of reuse for software systems and can be used as a tool to assess its overall quality.

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“…Quality (Kaur et al, 2017;Pratap Singh and Tomar, 2016;Efat et al, 2014;Pfleeger, 1996;Poulin, 1994;Rowley, 1993) Performance Average run time Suri and Garg, 2009;Nagpal and Mehrotra, 2009;Washizaki et al, 2009;Lee and Choi, 2009;Poulin, 1996) Required Revising Understandability (Fumagalli et al, 2019;Diamantopoulos et al, 2016;Pratap Singh and Tomar, 2016;Selvarani and Mangayarkarasi, 2015;Taibi, 2013;Anguswamy and Frakes, 2012;Juan et al, 2010;Nagpal and Mehrotra, 2009;Ruhroth et al, 2009;Washizaki et al, 2009;Lee and Choi, 2009;Yu and Smith, 2009;Suri and Garg, 2009;…”

Section: Standard Compliantmentioning

confidence: 99%

A semantic model to publish open source software on the web of data

Mosharraf

2022

AJIM

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PurposeThe purpose of the paper is to propose a semantic model for describing open source software (OSS) in a machine–human understandable format. The model is extracted to support source code reusing and revising as the two primary targets of OSS through a systematic review of related documents.Design/methodology/approachConducting a systematic review, all the software reusing criteria are identified and introduced to the web of data by an ontology for OSS (O4OSS). The software semantic model introduced in this paper explores OSS through triple expressions in which the O4OSS properties are predicates.FindingsThis model improves the quality of web data by describing software in a structured machine–human readable profile, which is linked to the related data that was previously published on the web. Evaluating the OSS semantic model is accomplished through comparing it with previous approaches, comparing the software structured metadata with profile index of software in some well-known repositories, calculating the software retrieval rank and surveying domain experts.Originality/valueConsidering context-specific information and authority levels, the proposed software model would be applicable to any open and close software. Using this model to publish software provides an infrastructure of connected meaningful data and helps developers overcome some specific challenges. By navigating software data, many questions which can be answered only through reading multiple documents can be automatically responded on the web of data.

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Assessing the Reusability of Source Code Components

Cited by 4 publications

References 14 publications

Employing Source Code Quality Analytics for Enriching Code Snippets Data

Employing Source Code Quality Analytics for Enriching Code Snippets Data

A metadata driven process for assessing stability and reusability based on risk of change of software systems

A semantic model to publish open source software on the web of data

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