research-article

Extended iterative maintenance life cycle using eXtreme programming

Authors:

Jitender Choudhari,

Ugrasen SumanAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 39, Issue 1

Pages 1 - 12

https://doi.org/10.1145/2557833.2557845

Published: 11 February 2014 Publication History

Abstract

Software maintenance is the continuous process of enhancing the operational life of software. The existing approaches to software maintenance, derived from the traditional approaches to development, are unable to resolve the problems of unstructured code, team morale, poor visibility of the project, lack of communication, and lack of proper test suites. Alternatively, extreme programming practices such as test driven development, refactoring, pair programming, continuous integration, small releases, and collective ownership help to resolve the aforesaid problems. In this paper, a process model is proposed for software maintenance using extreme programming practices to resolve maintenance issues in an improved manner. The proposed approach speeds up the maintenance process and produces more maintainable code with less effort for future maintenance and evolution. The proposed model is validated by applying it on several maintenance projects in an academic environment. It has been observed that the approach provides higher quality code. The proposed model based on extreme programming enhances both learning and productivity of the team by improving the morale, courage, and confidence of the team, which supports higher motivation during maintenance.

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Cited By

Almashhadani MMishra AYazici A(2024)Software maintenance practices using agile methods towards cloud environmentJournal of Software: Evolution and Process10.1002/smr.269836:11Online publication date: 5-Nov-2024
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Almashhadani MMishra AYazici AYounas M(2023)Challenges in Agile Software Maintenance for Local and Global Development: An Empirical AssessmentInformation10.3390/info1405026114:5(261)Online publication date: 27-Apr-2023
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Extended iterative maintenance life cycle using eXtreme programming

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Published In

cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 39, Issue 1

January 2014

193 pages

ISSN:0163-5948

DOI:10.1145/2557833

Editor:
Will Tracz
Lockheed Martin IS&GS, Endicott, NY

Issue’s Table of Contents

Copyright © 2014 Authors.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 February 2014

Published in SIGSOFT Volume 39, Issue 1

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Cited By

Almashhadani MMishra AYazici A(2024)Software maintenance practices using agile methods towards cloud environmentJournal of Software: Evolution and Process10.1002/smr.269836:11Online publication date: 5-Nov-2024
https://dl.acm.org/doi/10.1002/smr.2698
Almashhadani MMishra AYazici AYounas M(2023)Challenges in Agile Software Maintenance for Local and Global Development: An Empirical AssessmentInformation10.3390/info1405026114:5(261)Online publication date: 27-Apr-2023
https://doi.org/10.3390/info14050261
Patidar ASuman U(2022)A Survey on Mobile App Development Approaches With the Industry PerspectiveInternational Journal of Open Source Software and Processes10.4018/IJOSSP.30075413:1(1-17)Online publication date: 20-May-2022
https://dl.acm.org/doi/10.4018/IJOSSP.300754
Sadler H(2020)ER2C SDMLC: enterprise release risk-centric systems development and maintenance life cycleSoftware Quality Journal10.1007/s11219-019-09452-728:4(1755-1787)Online publication date: 1-Dec-2020
https://dl.acm.org/doi/10.1007/s11219-019-09452-7
Ribeiro Dda Silva FValença DFreitas EFrança CGenero MJedlitschka AJørgensen MScanniello GSampath SCaivano DPort D(2016)Advantages and Disadvantages of using Shared code from the Developers PerspectiveProceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/2961111.2962624(1-6)Online publication date: 8-Sep-2016
https://dl.acm.org/doi/10.1145/2961111.2962624
Sharma PHasteer N(2016)Analysis of linear sequential and extreme programming development methodology for a gaming application2016 International Conference on Communication and Signal Processing (ICCSP)10.1109/ICCSP.2016.7754505(1916-1920)Online publication date: Apr-2016
https://doi.org/10.1109/ICCSP.2016.7754505
Ahmad MKuvaja POivo MMarkkula J(2016)Transition of Software Maintenance Teams from Scrum to KanbanProceedings of the 2016 49th Hawaii International Conference on System Sciences (HICSS)10.1109/HICSS.2016.670(5427-5436)Online publication date: 5-Jan-2016
https://dl.acm.org/doi/10.1109/HICSS.2016.670
Choudhari JSuman U(2015)An Empirical Evaluation of Iterative Maintenance Life Cycle Using XPACM SIGSOFT Software Engineering Notes10.1145/2735399.273540640:2(1-14)Online publication date: 3-Apr-2015
https://dl.acm.org/doi/10.1145/2735399.2735406
Heeager LRose J(2015)Optimising agile development practices for the maintenance operationEmpirical Software Engineering10.1007/s10664-014-9335-720:6(1762-1784)Online publication date: 1-Dec-2015
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