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Algorithmic cost estimation for software evolution

Author:

Juan F. RamilAuthors Info & Claims

ICSE '00: Proceedings of the 22nd international conference on Software engineering

Pages 701 - 703

https://doi.org/10.1145/337180.337587

Published: 01 June 2000 Publication History

Abstract

This study addresses the problem of cost estimation in the context of software evolution by building a set of quantitative models and assessing their predictive power. The models aim at capturing the relationship between effort, productivity and a suite of metrics of software evolution extracted from empirical data sets.

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Cited By

Yu L(2015)Effort, Time, and Staffing in Continually Evolving Open-Source ProjectsOpen Source Technology10.4018/978-1-4666-7230-7.ch087(1722-1743)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-7230-7.ch087
Yu L(2013)Effort, Time, and Staffing in Continually Evolving Open-Source ProjectsKnowledge-Based Processes in Software Development10.4018/978-1-4666-4229-4.ch006(86-108)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-4229-4.ch006
Sinhal AVerma B(2013)A novel fuzzy based approach for effort estimation in software developmentACM SIGSOFT Software Engineering Notes10.1145/2507288.250731338:5(1-6)Online publication date: 26-Aug-2013
https://dl.acm.org/doi/10.1145/2507288.2507313
Show More Cited By

Index Terms

Algorithmic cost estimation for software evolution
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics
2. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Implementation management
        Pricing and resource allocation
      2. Software management
        Software maintenance

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Published In

cover image ACM Conferences

ICSE '00: Proceedings of the 22nd international conference on Software engineering

June 2000

843 pages

ISBN:1581132069

DOI:10.1145/337180

Chairmen:
Carlo Ghezzi
Politecnico di Milano, Milau, Italy
,
Mehdi Jazayeri
Technical Univ. of Vienna, Vienna, Austria
,
Alexander L. Wolf
Univ. of Colorado, Boulder, USA

Copyright © 2000 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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Irish Comp Soc: Irish Computer Society
SIGSOFT: ACM Special Interest Group on Software Engineering
IEEE-CS: Computer Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2000

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ICSE00

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Irish Comp Soc
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IEEE-CS

ICSE00: 22nd International Conference on Software Engineering

June 4 - 11, 2000

Limerick, Ireland

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Overall Acceptance Rate 276 of 1,856 submissions, 15%

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Citations

Cited By

Yu L(2015)Effort, Time, and Staffing in Continually Evolving Open-Source ProjectsOpen Source Technology10.4018/978-1-4666-7230-7.ch087(1722-1743)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-7230-7.ch087
Yu L(2013)Effort, Time, and Staffing in Continually Evolving Open-Source ProjectsKnowledge-Based Processes in Software Development10.4018/978-1-4666-4229-4.ch006(86-108)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-4229-4.ch006
Sinhal AVerma B(2013)A novel fuzzy based approach for effort estimation in software developmentACM SIGSOFT Software Engineering Notes10.1145/2507288.250731338:5(1-6)Online publication date: 26-Aug-2013
https://dl.acm.org/doi/10.1145/2507288.2507313
Riaz MSulayman MNaqvi H(2009)Architectural Decay during Continuous Software Evolution and Impact of ‘Design for Change’ on Software ArchitectureAdvances in Software Engineering10.1007/978-3-642-10619-4_15(119-126)Online publication date: 2009
https://doi.org/10.1007/978-3-642-10619-4_15
Li T(2009)Related WorkAn Approach to Modelling Software Evolution Processes10.1007/978-3-540-79464-6_3(34-49)Online publication date: 2009
https://doi.org/10.1007/978-3-540-79464-6_3
De Lucia APompella EStefanucci S(2006)Assessing Effort Prediction Models for Corrective Software MaintenanceEnterprise Information Systems VI10.1007/1-4020-3675-2_7(55-62)Online publication date: 2006
https://doi.org/10.1007/1-4020-3675-2_7
Antoniol GRollo VVenturi G(2005)Linear predictive coding and cepstrum coefficients for mining time variant information from software repositoriesProceedings of the 2005 international workshop on Mining software repositories10.1145/1083142.1083156(1-5)Online publication date: 17-May-2005
https://dl.acm.org/doi/10.1145/1083142.1083156
Antoniol GRollo VVenturi G(2005)Linear predictive coding and cepstrum coefficients for mining time variant information from software repositoriesACM SIGSOFT Software Engineering Notes10.1145/1082983.108315630:4(1-5)Online publication date: 17-May-2005
https://dl.acm.org/doi/10.1145/1082983.1083156
De Lucia APompella EStefanucci S(2003)Assessing the maintenance processes of a software organizationJournal of Systems and Software10.1016/S0164-1212(02)00051-165:2(87-103)Online publication date: 15-Feb-2003
https://dl.acm.org/doi/10.1016/S0164-1212%2802%2900051-1
De Lucia APompella EStefanucci STortora GChang S(2002)Effort estimation for corrective software maintenanceProceedings of the 14th international conference on Software engineering and knowledge engineering10.1145/568760.568831(409-416)Online publication date: 15-Jul-2002
https://dl.acm.org/doi/10.1145/568760.568831
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