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Using traceability to mitigate cognitive biases in software development

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Kannan Mohan,

Radhika JainAuthors Info & Claims

Communications of the ACM, Volume 51, Issue 9

Pages 110 - 114

https://doi.org/10.1145/1378727.1389970

Published: 01 September 2008 Publication History

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Cited By

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Carter LLiu D(2025)How was my performance? Exploring the role of anchoring bias in AI-assisted decision makingInternational Journal of Information Management10.1016/j.ijinfomgt.2025.10287582(102875)Online publication date: Jun-2025
https://doi.org/10.1016/j.ijinfomgt.2025.102875
Razavian MPaech BTang A(2022)The vision of on-demand architectural knowledge systems as a decision-making companionJournal of Systems and Software10.1016/j.jss.2022.111560(111560)Online publication date: Nov-2022
https://doi.org/10.1016/j.jss.2022.111560
Wolfengagen VIsmailova LKosikov S(2022)Cognitive technology to capture deep computational concepts with combinatorsCognitive Systems Research10.1016/j.cogsys.2021.10.00171:C(9-23)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1016/j.cogsys.2021.10.001
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Index Terms

Using traceability to mitigate cognitive biases in software development
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Software management
2. Software and its engineering

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Published In

Communications of the ACM Volume 51, Issue 9

Enterprise information integration: and other tools for merging data

September 2008

124 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1378727

Issue’s Table of Contents

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

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Publication History

Published: 01 September 2008

Published in CACM Volume 51, Issue 9

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Carter LLiu D(2025)How was my performance? Exploring the role of anchoring bias in AI-assisted decision makingInternational Journal of Information Management10.1016/j.ijinfomgt.2025.10287582(102875)Online publication date: Jun-2025
https://doi.org/10.1016/j.ijinfomgt.2025.102875
Razavian MPaech BTang A(2022)The vision of on-demand architectural knowledge systems as a decision-making companionJournal of Systems and Software10.1016/j.jss.2022.111560(111560)Online publication date: Nov-2022
https://doi.org/10.1016/j.jss.2022.111560
Wolfengagen VIsmailova LKosikov S(2022)Cognitive technology to capture deep computational concepts with combinatorsCognitive Systems Research10.1016/j.cogsys.2021.10.00171:C(9-23)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1016/j.cogsys.2021.10.001
Spadini DÇalikli GBacchelli ARothermel GBae D(2020)Primers or reminders?Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering10.1145/3377811.3380385(1171-1182)Online publication date: 27-Jun-2020
https://dl.acm.org/doi/10.1145/3377811.3380385
Mohanani RSalman ITurhan BRodriguez PRalph P(2020)Cognitive Biases in Software Engineering: A Systematic Mapping StudyIEEE Transactions on Software Engineering10.1109/TSE.2018.2877759(1-1)Online publication date: 2020
https://doi.org/10.1109/TSE.2018.2877759
Mohanani RTurhan BRalph P(2019)Requirements Framing Affects Design CreativityIEEE Transactions on Software Engineering10.1109/TSE.2019.2909033(1-1)Online publication date: 2019
https://doi.org/10.1109/TSE.2019.2909033
Huerta EJensen S(2017)An Accounting Information Systems Perspective on Data Analytics and Big DataJournal of Information Systems10.2308/isys-5179931:3(101-114)Online publication date: 1-May-2017
https://doi.org/10.2308/isys-51799
Chen CKoufaris M(2017)The impact of decision support system features on user overconfidence and risky behaviorEuropean Journal of Information Systems10.1057/ejis.2014.3024:6(607-623)Online publication date: 19-Dec-2017
https://doi.org/10.1057/ejis.2014.30
Stefi AHess T(2015)To Develop or to Reuse? Two Perspectives on External Reuse in Software ProjectsSoftware Business10.1007/978-3-319-19593-3_18(192-206)Online publication date: 2015
https://doi.org/10.1007/978-3-319-19593-3_18
Chotisarn NPrompoon N(2013)Forecasting software damage rate from cognitive bias in software requirements gathering and specification process2013 IEEE Third International Conference on Information Science and Technology (ICIST)10.1109/ICIST.2013.6747696(951-956)Online publication date: Mar-2013
https://doi.org/10.1109/ICIST.2013.6747696
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Cognitive biases in software development

Cognitive biases in engineering decision making

"Leagile" software development

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