research-article

Software Defect Reduction Top 10 List

Authors:

Barry Boehm,

Victor R. BasiliAuthors Info & Claims

Computer, Volume 34, Issue 1

Pages 135 - 137

https://doi.org/10.1109/2.962984

Published: 01 January 2001 Publication History

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Abstract

Software's complexity and accelerated development schedules make avoiding defects difficult. These 10 techniques can help reduce the flaws in your code.

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Stradowski SMadeyski Ld'Amorim M(2024)Costs and Benefits of Machine Learning Software Defect Prediction: Industrial Case StudyCompanion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering10.1145/3663529.3663831(92-103)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3663529.3663831
Pandey MOney SBegel A(2024)Towards Inclusive Source Code Readability Based on the Preferences of Programmers with Visual ImpairmentsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642512(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642512
Long DDrylie SRitschel JKoschnick C(2024)An Assessment of Rules of Thumb for Software Phase Management, and the Relationship Between Phase Effort and Schedule SuccessIEEE Transactions on Software Engineering10.1109/TSE.2023.333938350:2(209-219)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TSE.2023.3339383
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Software Defect Reduction Top 10 List

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Closing the defect reduction gap between software inspection and test-driven development: applying mutation analysis to iterative, test-first programming
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ISSRE '03: Proceedings of the 14th International Symposium on Software Reliability Engineering

Test-driven development is a software developmentpractice that has been used sporadically for decades.With this practice, test cases (preferably automated) areincrementally written before production code isimplemented. Test-driven development has ...
Comparing the Defect Reduction Benefits of Code Inspection and Test-Driven Development

This study is a quasi experiment comparing the software defect rates and implementation costs of two methods of software defect reduction: code inspection and test-driven development. We divided participants, consisting of junior and senior computer ...

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Published In

Computer Volume 34, Issue 1

January 2001

96 pages

ISSN:0018-9162

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IEEE Computer Society Press

Washington, DC, United States

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Published: 01 January 2001

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Stradowski SMadeyski Ld'Amorim M(2024)Costs and Benefits of Machine Learning Software Defect Prediction: Industrial Case StudyCompanion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering10.1145/3663529.3663831(92-103)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3663529.3663831
Pandey MOney SBegel A(2024)Towards Inclusive Source Code Readability Based on the Preferences of Programmers with Visual ImpairmentsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642512(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642512
Long DDrylie SRitschel JKoschnick C(2024)An Assessment of Rules of Thumb for Software Phase Management, and the Relationship Between Phase Effort and Schedule SuccessIEEE Transactions on Software Engineering10.1109/TSE.2023.333938350:2(209-219)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TSE.2023.3339383
Rantala LMäntylä MLenarduzzi V(2024)Keyword-labeled self-admitted technical debt and static code analysis have significant relationship but limited overlapSoftware Quality Journal10.1007/s11219-023-09655-z32:2(391-429)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s11219-023-09655-z
Guerra EGomes EFerreira JWiese ILima PGerosa MMeirelles P(2024)How do annotations affect Java code readability?Empirical Software Engineering10.1007/s10664-024-10460-w29:3Online publication date: 3-May-2024
https://dl.acm.org/doi/10.1007/s10664-024-10460-w
Takahashi K(2024)An Interactive Tool to Improve Program Readability for Novice StudentsNew Technology in Education and Training10.1007/978-981-97-3883-0_13(145-157)Online publication date: 5-Jan-2024
https://dl.acm.org/doi/10.1007/978-981-97-3883-0_13
Ziftci CGreenberg BBissyandé TKlein JBird CSarro F(2023)Improving Design Reviews at GoogleProceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering10.1109/ASE56229.2023.00066(1849-1854)Online publication date: 11-Nov-2023
https://dl.acm.org/doi/10.1109/ASE56229.2023.00066
Li JLiu S(2023)Requirements‐related fault prevention during the transformation from formal specifications to programsIET Software10.1049/sfw2.1212617:3(316-332)Online publication date: 15-May-2023
https://dl.acm.org/doi/10.1049/sfw2.12126
Ericsson NÅkerberg JBjörkman MLennvall TLarsson SPei-Breivold H(2023)A flexible communication stack design for improved software development on industrial testbeds and simulatorsComputers in Industry10.1016/j.compind.2023.103873147:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.compind.2023.103873
Alsuhaibani RNewman CDecker MCollard MMaletic JRastogi ATufano RBavota GArnaoudova VHaiduc S(2022)An approach to automatically assess method namesProceedings of the 30th IEEE/ACM International Conference on Program Comprehension10.1145/3524610.3527780(202-213)Online publication date: 16-May-2022
https://dl.acm.org/doi/10.1145/3524610.3527780
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Abstract

Cited By

Index Terms

Recommendations

Closing the defect reduction gap between software inspection and test-driven development: applying mutation analysis to iterative, test-first programming

Test-Driven Development as a Defect-Reduction Practice

Comparing the Defect Reduction Benefits of Code Inspection and Test-Driven Development

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