article

Dynamics of software maintenance

Authors:

Arun K. MisraAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 29, Issue 5

Pages 1 - 5

https://doi.org/10.1145/1022494.1022513

Published: 01 September 2004 Publication History

Abstract

As the information technology industry gains maturity, the number of software systems having moved into maintenance is rapidly growing. Often these systems are also potential candidates for outsourcing. However, adequate information regarding size, complexity, reliability, maintainability etc. of these systems is often missing. This makes the task of estimating maintenance efforts for any such system difficult for the organization owning the systems as well as for a software services vendor bidding to outsource maintenance of the system. This is further compounded by human and management factors related to maintenance activities such as management focus, client attitude, engineers' attitude, the need for multi-location support teams etc. These factors make the problem of objectively estimating software maintenance effort almost intractable.We submit that software maintenance is of equal if not more fundamental importance to the software industry, and has not received the attention it deserves, especially in the context of estimation models.This paper describes a holistic approach towards a study of the factors affecting the effort involved in maintenance of existing software systems. It describes how one could build a systems dynamics model to predict the effort involved to maintain a software system, based on qualitative and qualitative inputs.

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Cited By

Elakeili SNajma HMaatuk A(2024)An Enhanced Software Maintenance Approach Based on World-Class Manufacturing Standard2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)10.1109/MI-STA61267.2024.10599652(56-61)Online publication date: 19-May-2024
https://doi.org/10.1109/MI-STA61267.2024.10599652
Rahman Hda Silva AAlzayed ARaza M(2024)A Systematic Literature Review on Software Maintenance Offshoring DecisionsInformation and Software Technology10.1016/j.infsof.2024.107475172(107475)Online publication date: Aug-2024
https://doi.org/10.1016/j.infsof.2024.107475
Babolhakami AGholami Sefidkouhi MEmadi A(2023)Application of system dynamics model for reservoir performance under future climatic scenarios in Gelevard Dam, IranAQUA — Water Infrastructure, Ecosystems and Society10.2166/aqua.2023.19372:7(1115-1129)Online publication date: 14-Jun-2023
https://doi.org/10.2166/aqua.2023.193
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Dynamics of software maintenance
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning
2. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Software management

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cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 29, Issue 5

September 2004

321 pages

ISSN:0163-5948

DOI:10.1145/1022494

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Copyright © 2004 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2004

Published in SIGSOFT Volume 29, Issue 5

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Cited By

Elakeili SNajma HMaatuk A(2024)An Enhanced Software Maintenance Approach Based on World-Class Manufacturing Standard2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)10.1109/MI-STA61267.2024.10599652(56-61)Online publication date: 19-May-2024
https://doi.org/10.1109/MI-STA61267.2024.10599652
Rahman Hda Silva AAlzayed ARaza M(2024)A Systematic Literature Review on Software Maintenance Offshoring DecisionsInformation and Software Technology10.1016/j.infsof.2024.107475172(107475)Online publication date: Aug-2024
https://doi.org/10.1016/j.infsof.2024.107475
Babolhakami AGholami Sefidkouhi MEmadi A(2023)Application of system dynamics model for reservoir performance under future climatic scenarios in Gelevard Dam, IranAQUA — Water Infrastructure, Ecosystems and Society10.2166/aqua.2023.19372:7(1115-1129)Online publication date: 14-Jun-2023
https://doi.org/10.2166/aqua.2023.193
Fang HHerbsleb JVasilescu BChandra SBlincoe KTonella P(2023)Matching Skills, Past Collaboration, and Limited Competition: Modeling When Open-Source Projects Attract ContributorsProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3611643.3616282(42-54)Online publication date: 30-Nov-2023
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Rahman HAlzayed AMohmand MAlbarrak AQasem S(2023)Application Maintenance Offshoring Using HCI Based Framework and Simple Multi Attribute Rating Technique (SMART)IEEE Access10.1109/ACCESS.2023.332094111(107068-107084)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3320941
Mishra DRamkumar M(2021)Study of project type and team structure in the Indian software outsourcing industryOPSEARCH10.1007/s12597-021-00546-059:1(324-349)Online publication date: 3-Jul-2021
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Campos ULopes AConte T(2020)Evolution of BPMN Models through e-VOL BPMNProceedings of the XIX Brazilian Symposium on Software Quality10.1145/3439961.3439983(1-11)Online publication date: 1-Dec-2020
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Simao Monteiro SFernandes Lima ACristina Venturini Fde Oliveira W(2018)Continuous Improvement of Systems in Maintenance Using a Proactive Quality Management2018 11th International Conference on the Quality of Information and Communications Technology (QUATIC)10.1109/QUATIC.2018.00017(47-55)Online publication date: Sep-2018
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Christa SSuma V(2017)Analysis of ticket severity: A case study2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)10.1109/ICIMIA.2017.7975568(763-765)Online publication date: Feb-2017
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