research-article

i*-prefer: optimizing requirements elicitation process based on actor preferences

Authors:

Haihua Xie,

Lin Liu,

Jingwei YangAuthors Info & Claims

SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing

Pages 347 - 354

https://doi.org/10.1145/1529282.1529359

Published: 08 March 2009 Publication History

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Abstract

Many software projects fail due to ill-defined requirements, or mismatch between system design and the preferences of involved actors in the environment. The quality and efficiency of requirements elicitation determines the ultimate quality of the system. In this paper, we propose to take the preferences of actors into consideration when making design decisions. Furthermore, we use such preference information to help optimize the elicitation process. The requirements model is represented as an extension to the i* framework, called i*-prefer. Major extension points are: (1) For each softgoal of an actor, a utility value is computed to depict actor's preferences; (2) A quantitative measurement is introduced to quantify the contribution of different design alternatives to each softgoal; (3) An evaluation process is used to compare the overall impact of different design strategies. A simplified seminar planning example is used to illustrate the proposed approach.

References

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Cited By

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Khaddaj SMakoond B(2019)A Requirement-Driven Mechanism for the Management of Distributed InfrastructuresIEEE Transactions on Services Computing10.1109/TSC.2016.259833812:1(20-33)Online publication date: 1-Jan-2019
https://doi.org/10.1109/TSC.2016.2598338
Elahi GYu E(2018)Comparing alternatives for analyzing requirements trade-offs - In the absence of numerical dataInformation and Software Technology10.1016/j.infsof.2011.10.00754:6(517-530)Online publication date: 30-Dec-2018
https://dl.acm.org/doi/10.1016/j.infsof.2011.10.007
Yang JChang CMing H(2017)A Situation-Centric Approach to Identifying New User Intentions Using the MTL Method2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)10.1109/COMPSAC.2017.36(347-356)Online publication date: Jul-2017
https://doi.org/10.1109/COMPSAC.2017.36
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Published In

SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing

March 2009

2347 pages

ISBN:9781605581668

DOI:10.1145/1529282

Conference Chairs:
Sung Y. Shin
South Dakota State University, United States
,
Sascha Ossowski
University Rey Juan Carlos, Spain

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 March 2009

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SAC09

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SIGAPP

SAC09: The 2009 ACM Symposium on Applied Computing

March 8, 2009 - March 12, 2008

Hawaii, Honolulu

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Khaddaj SMakoond B(2019)A Requirement-Driven Mechanism for the Management of Distributed InfrastructuresIEEE Transactions on Services Computing10.1109/TSC.2016.259833812:1(20-33)Online publication date: 1-Jan-2019
https://doi.org/10.1109/TSC.2016.2598338
Elahi GYu E(2018)Comparing alternatives for analyzing requirements trade-offs - In the absence of numerical dataInformation and Software Technology10.1016/j.infsof.2011.10.00754:6(517-530)Online publication date: 30-Dec-2018
https://dl.acm.org/doi/10.1016/j.infsof.2011.10.007
Yang JChang CMing H(2017)A Situation-Centric Approach to Identifying New User Intentions Using the MTL Method2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)10.1109/COMPSAC.2017.36(347-356)Online publication date: Jul-2017
https://doi.org/10.1109/COMPSAC.2017.36
Vilela JGoncalves EHolanda ACastro JFigueiredo B(2016)A retrospective analysis of SAC requirementsACM SIGAPP Applied Computing Review10.1145/2993231.299323416:2(26-41)Online publication date: 29-Aug-2016
https://dl.acm.org/doi/10.1145/2993231.2993234
Serrano MSerrano MLeite J(2011)Dealing with softgoals at runtime: A fuzzy logic approach2011 2nd International Workshop on [email protected]10.1109/ReRunTime.2011.6046244(23-31)Online publication date: Aug-2011
https://doi.org/10.1109/ReRunTime.2011.6046244
Elahi GYu E(2011)A Semi-automated Decision Support Tool for Requirements Trade-Off AnalysisProceedings of the 2011 IEEE 35th Annual Computer Software and Applications Conference10.1109/COMPSAC.2011.67(466-475)Online publication date: 18-Jul-2011
https://dl.acm.org/doi/10.1109/COMPSAC.2011.67
Supakkul SChung L(2010)Visualizing non-functional requirements patterns2010 Fifth International Workshop on Requirements Engineering Visualization10.1109/REV.2010.5625663(25-34)Online publication date: Sep-2010
https://doi.org/10.1109/REV.2010.5625663
Supakkul SHill TChung LTun Tdo Prado Leite J(2010)An NFR Pattern Approach to Dealing with NFRsProceedings of the 2010 18th IEEE International Requirements Engineering Conference10.1109/RE.2010.31(179-188)Online publication date: 27-Sep-2010
https://dl.acm.org/doi/10.1109/RE.2010.31
Ma WLiu LXie HZhang HYin J(2009)Preference Model Driven Services SelectionProceedings of the 21st International Conference on Advanced Information Systems Engineering10.1007/978-3-642-02144-2_20(216-230)Online publication date: 6-Jun-2009
https://dl.acm.org/doi/10.1007/978-3-642-02144-2_20

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