research-article

Phase wise effort estimation for software maintenance: an extended SMEEM model

Authors:

Jitender Choudhari,

Ugrasen SumanAuthors Info & Claims

CUBE '12: Proceedings of the CUBE International Information Technology Conference

Pages 397 - 402

https://doi.org/10.1145/2381716.2381790

Published: 03 September 2012 Publication History

Abstract

Software maintenance through extreme programming approach requires a dedicated algorithmic cost estimation process due to lack of algorithmic approaches for estimating cost, size and duration in agile methodology. Existing approaches of software maintenance estimation such as ACT, FP and COCOMO 2.0 reuse model are based on traditional methods of software development. Software Maintenance Effort Estimation Model (SMEEM) is an estimation method that incorporates various value adjustment factors affecting the estimation of the maintenance project [2]. The SMEEM model generates the more realistic and precise estimation results for agile and extreme programming based maintenance environment. The SMEEM Model calculates and adjusts size of maintenance effort but it is unable to estimate phase wise effort, which is crucial to determine the accurate estimates. In this paper, effort estimation technique is proposed for maintenance project that estimates phase wise effort. This technique employs empirical data from industry practitioners and PG students for phase effort estimation. The proposed technique is illustrated and validated using a case study in subsequent section. It provides more realistic result as compare to the existing techniques on maintenance effort estimation and helpful in estimating phase wise maintenance effort in extreme programming based maintenance environment.

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Cited By

Pasuksmit JThongtanunam PKarunasekera S(2024)A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in AgileACM Computing Surveys10.1145/366336556:11(1-37)Online publication date: 28-Jun-2024
https://dl.acm.org/doi/10.1145/3663365
Butt SKhalid AErcan TAriza-Colpas PMelisa APiñeres-Espitia GDe-La-Hoz-Franco EMelo MOrtega R(2022)A software-based cost estimation technique in scrum using a developer's expertiseAdvances in Engineering Software10.1016/j.advengsoft.2022.103159171(103159)Online publication date: Sep-2022
https://doi.org/10.1016/j.advengsoft.2022.103159
Sudarmaningtyas PMohamed R(2021)A Review Article on Software Effort Estimation in Agile MethodologyPertanika Journal of Science and Technology10.47836/pjst.29.2.0829:2Online publication date: 30-Apr-2021
https://doi.org/10.47836/pjst.29.2.08
Show More Cited By

Index Terms

Phase wise effort estimation for software maintenance: an extended SMEEM model
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Software management
        Software maintenance
2. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
        Software product lines
    2. Software post-development issues

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cover image ACM Other conferences

CUBE '12: Proceedings of the CUBE International Information Technology Conference

September 2012

879 pages

ISBN:9781450311854

DOI:10.1145/2381716

General Chair:
Vidyasagar Potdar
Curtin University, Australia
,
Program Chair:
Debajyoti Mukhopadhyay
Maharashtra Institute of Technology, India

Copyright © 2012 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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CUOT: Curtin University of Technology

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Published: 03 September 2012

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CUBE '12: CUBE International IT Conference & Exhibition

September 3 - 5, 2012

Pune, India

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Cited By

Pasuksmit JThongtanunam PKarunasekera S(2024)A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in AgileACM Computing Surveys10.1145/366336556:11(1-37)Online publication date: 28-Jun-2024
https://dl.acm.org/doi/10.1145/3663365
Butt SKhalid AErcan TAriza-Colpas PMelisa APiñeres-Espitia GDe-La-Hoz-Franco EMelo MOrtega R(2022)A software-based cost estimation technique in scrum using a developer's expertiseAdvances in Engineering Software10.1016/j.advengsoft.2022.103159171(103159)Online publication date: Sep-2022
https://doi.org/10.1016/j.advengsoft.2022.103159
Sudarmaningtyas PMohamed R(2021)A Review Article on Software Effort Estimation in Agile MethodologyPertanika Journal of Science and Technology10.47836/pjst.29.2.0829:2Online publication date: 30-Apr-2021
https://doi.org/10.47836/pjst.29.2.08
Sudarmaningtyas PMohamed R(2020)Extended Planning Poker: A Proposed Model2020 7th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)10.1109/ICITACEE50144.2020.9239165(179-184)Online publication date: 24-Sep-2020
https://doi.org/10.1109/ICITACEE50144.2020.9239165
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
Usman MMendes EWeidt FBritto RWagner SDi Penta M(2014)Effort estimation in agile software developmentProceedings of the 10th International Conference on Predictive Models in Software Engineering10.1145/2639490.2639503(82-91)Online publication date: 17-Sep-2014
https://dl.acm.org/doi/10.1145/2639490.2639503
Choudhari JSuman U(2014)Extended iterative maintenance life cycle using eXtreme programmingACM SIGSOFT Software Engineering Notes10.1145/2557833.255784539:1(1-12)Online publication date: 11-Feb-2014
https://dl.acm.org/doi/10.1145/2557833.2557845

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