short-paper

Integrating reuse into the rapid, continuous software engineering cycle through test-driven search

Authors:

Colin AtkinsonAuthors Info & Claims

RCoSE '18: Proceedings of the 4th International Workshop on Rapid Continuous Software Engineering

Pages 8 - 11

https://doi.org/10.1145/3194760.3194761

Published: 29 May 2018 Publication History

Abstract

Today's advanced agile practices such as Continuous Integration and Test-Driven Development support a wide range of software development activities to facilitate the rapid delivery of high-quality software. However, the reuse of pre-existing, third-party software components is not one of them. Software reuse is still primarily perceived as a time-consuming, unsystematic and ultimately, "discontinuous" activity even though it aims to deliver the same basic benefits as continuous software engineering - namely, a reduction in the time and effort taken to deliver quality software. However, the increasingly central role of testing in continuous software engineering offers a way of addressing this problem by exploiting the new generation of test-driven search engines that can harvest components based on tests. This search technology not only exploits artifacts that have already been created as part of the continuous testing process to harvest components, it returns results that have a high likelihood of being fit for purpose and thus of being worth reusing. In this paper, we propose to augment continuous software engineering with the rapid, continuous reuse of software code units by integrating the test-driven mining of software artifact repositories into the continuous integration process. More specifically, we propose to use tests written as part of the Test-First Development approach to perform test-driven searches for matching functionality while developers are working on their normal development activities. We discuss the idea of rapid, continuous code reuse based on recent advances in our test-driven search platform and elaborate on scenarios for its application in the future.

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Cited By

Kessel MAtkinson C(2024)Code search engines for the next generationJournal of Systems and Software10.1016/j.jss.2024.112065215(112065)Online publication date: Sep-2024
https://doi.org/10.1016/j.jss.2024.112065
Almufareh MHumayun M(2023)Improving the Safety and Security of Software Systems by Mediating SAP VerificationApplied Sciences10.3390/app1301064713:1(647)Online publication date: 3-Jan-2023
https://doi.org/10.3390/app13010647
Kim KGhatpande SKim DZhou XLiu KBissyandé TKlein JLe Traon Y(2023)Big Code Search: A BibliographyACM Computing Surveys10.1145/360490556:1(1-49)Online publication date: 26-Aug-2023
https://dl.acm.org/doi/10.1145/3604905
Show More Cited By

Index Terms

Integrating reuse into the rapid, continuous software engineering cycle through test-driven search
1. Software and its engineering
  1. Software creation and management

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Published In

cover image ACM Conferences

RCoSE '18: Proceedings of the 4th International Workshop on Rapid Continuous Software Engineering

May 2018

56 pages

ISBN:9781450357456

DOI:10.1145/3194760

Conference Chairs:
Jan Bosch
Chalmers University of Technology | University of Gothenburg, Sweden
,
Brian Fitzgerald
University of Limerick, Ireland
,
Michael Goedicke
University of Duisburg-Essen, Germany
,
Helena Holmström Olsson
Malmö University, Sweden
,
Marco Konersmann
University of Duisburg-Essen, Germany
,
Stephan Krusche
Technical University of Munich, Germany

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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IEEE-CS: Computer Society

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New York, NY, United States

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Published: 29 May 2018

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ICSE '18: 40th International Conference on Software Engineering

May 29, 2018

Gothenburg, Sweden

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Cited By

Kessel MAtkinson C(2024)Code search engines for the next generationJournal of Systems and Software10.1016/j.jss.2024.112065215(112065)Online publication date: Sep-2024
https://doi.org/10.1016/j.jss.2024.112065
Almufareh MHumayun M(2023)Improving the Safety and Security of Software Systems by Mediating SAP VerificationApplied Sciences10.3390/app1301064713:1(647)Online publication date: 3-Jan-2023
https://doi.org/10.3390/app13010647
Kim KGhatpande SKim DZhou XLiu KBissyandé TKlein JLe Traon Y(2023)Big Code Search: A BibliographyACM Computing Surveys10.1145/360490556:1(1-49)Online publication date: 26-Aug-2023
https://dl.acm.org/doi/10.1145/3604905
Khan HAfsar WNazir SNoor AKundi MMaashi MAlshahrani H(2023)Revolutionizing software developmental processes by utilizing continuous software approachesThe Journal of Supercomputing10.1007/s11227-023-05818-880:7(9579-9608)Online publication date: 12-Dec-2023
https://doi.org/10.1007/s11227-023-05818-8
Yanjari IMarin BGiachetti G(2022)An open-source framework for cross-platform testing in agile projects2022 41st International Conference of the Chilean Computer Science Society (SCCC)10.1109/SCCC57464.2022.10000346(1-8)Online publication date: 21-Nov-2022
https://doi.org/10.1109/SCCC57464.2022.10000346
Ali NDaneth HHong J(2020)A hybrid DevOps process supporting software reuseJournal of Software: Evolution and Process10.1002/smr.224832:7Online publication date: 2-Jul-2020
https://dl.acm.org/doi/10.1002/smr.2248
Kessel MAtkinson CVos TPrasetya WGetir S(2019)A platform for diversity-driven test amplificationProceedings of the 10th ACM SIGSOFT International Workshop on Automating TEST Case Design, Selection, and Evaluation10.1145/3340433.3342825(35-41)Online publication date: 26-Aug-2019
https://dl.acm.org/doi/10.1145/3340433.3342825

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