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ScrumLint: identifying violations of agile practices using development artifacts

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Hasso PlattnerAuthors Info & Claims

CHASE '16: Proceedings of the 9th International Workshop on Cooperative and Human Aspects of Software Engineering

Pages 40 - 43

https://doi.org/10.1145/2897586.2897602

Published: 14 May 2016 Publication History

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Abstract

Linting tools automatically identify source code fragments that do not follow a set of predefined standards. Such feedback tools are equally desirable for "linting" agile development processes. However, providing concrete feedback on process conformance is a challenging task, due to the intentional lack of formal agile process models. In this paper, we present ScrumLint, a tool that tackles this issue by analyzing development artifacts. On the basis of experiences with an undergraduate agile software engineering course, we defined a collection of process metrics. These contain the core ideas of agile methods and report deviations. Using this approach, development teams receive immediate feedback on their executed development practices. They can use this knowledge to improve their workflows, or can adapt the metrics to better reflect their project reality.

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Cited By

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Hamer SQuesada-López CJenkins M(2023)Students’ perceptions of integrating a contribution measurement tool in software engineering projects2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)10.1109/CSEET58097.2023.00013(21-30)Online publication date: Aug-2023
https://doi.org/10.1109/CSEET58097.2023.00013
Halani KJhajharia K(2022)A Quantitative Study of Waterfall and Agile Methodologies With the Perspective of Project ManagementContemporary Challenges for Agile Project Management10.4018/978-1-7998-7872-8.ch007(111-133)Online publication date: 2022
https://doi.org/10.4018/978-1-7998-7872-8.ch007
Matthies CDobrigkeit F(2021)Experience vs Data: A Case for More Data-Informed Retrospective ActivitiesLean and Agile Software Development10.1007/978-3-030-67084-9_8(130-144)Online publication date: 6-Jan-2021
https://doi.org/10.1007/978-3-030-67084-9_8
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Index Terms

ScrumLint: identifying violations of agile practices using development artifacts
1. Information systems
  1. Information systems applications
    1. Data mining
2. Software and its engineering
  1. Software creation and management
    1. Software development process management
      1. Software development methods
        Agile software development

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Published In

CHASE '16: Proceedings of the 9th International Workshop on Cooperative and Human Aspects of Software Engineering

May 2016

142 pages

ISBN:9781450341554

DOI:10.1145/2897586

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: 14 May 2016

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Short-paper

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ICSE '16

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ACM
SIGSOFT
IEEE-CS\DATC
TCSE

ICSE '16: 38th International Conference on Software Engineering

May 14 - 22, 2016

Texas, Austin

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Overall Acceptance Rate 47 of 70 submissions, 67%

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April 26 - May 3, 2025

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Cited By

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Hamer SQuesada-López CJenkins M(2023)Students’ perceptions of integrating a contribution measurement tool in software engineering projects2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)10.1109/CSEET58097.2023.00013(21-30)Online publication date: Aug-2023
https://doi.org/10.1109/CSEET58097.2023.00013
Halani KJhajharia K(2022)A Quantitative Study of Waterfall and Agile Methodologies With the Perspective of Project ManagementContemporary Challenges for Agile Project Management10.4018/978-1-7998-7872-8.ch007(111-133)Online publication date: 2022
https://doi.org/10.4018/978-1-7998-7872-8.ch007
Matthies CDobrigkeit F(2021)Experience vs Data: A Case for More Data-Informed Retrospective ActivitiesLean and Agile Software Development10.1007/978-3-030-67084-9_8(130-144)Online publication date: 6-Jan-2021
https://doi.org/10.1007/978-3-030-67084-9_8
Noprisson H(2019)Current Research Trend on Agile Software DevelopmentInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology10.32628/CSEIT195511(99-105)Online publication date: 5-Sep-2019
https://doi.org/10.32628/CSEIT195511
Matthies CMussbacher GAtlee JBultan T(2019)Feedback in scrumProceedings of the 41st International Conference on Software Engineering: Companion Proceedings10.1109/ICSE-Companion.2019.00081(198-201)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1109/ICSE-Companion.2019.00081
Soliman NSalah KMadian A(2018)Automatic RTL coding correction Linting tool for critical issues2018 30th International Conference on Microelectronics (ICM)10.1109/ICM.2018.8704117(252-255)Online publication date: Dec-2018
https://doi.org/10.1109/ICM.2018.8704117

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Recommendations

"Leagile" software development

Exploring software development at the very large-scale: a revelatory case study and research agenda for agile method adaptation

Software Engineering Practices and Methods in the Game Development Industry