research-article

Validating software measures using action research a method and industrial experiences

Authors:

Miroslaw Staron,

Jörgen HanssonAuthors Info & Claims

EASE '16: Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering

Article No.: 23, Pages 1 - 10

https://doi.org/10.1145/2915970.2916001

Published: 01 June 2016 Publication History

Abstract

Validating software measures for using them in practice is a challenging task. Usually more than one complementary validation methods are applied for rigorously validating software measures: Theoretical methods help with defining the measures with expected properties and empirical methods help with evaluating the predictive power of measures. Despite the variety of these methods there still remain cases when the validation of measures is difficult. Particularly when the response variables of interest are not accurately measurable and the practical context cannot be reduced to an experimental setup the abovementioned methods are not effective. In this paper we present a complementary empirical method for validating measures. The method relies on action research principles and is meant to be used in combination with theoretical validation methods. The industrial experiences documented in this paper show that in many practical cases the method is effective.

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Cited By

Staron M(2024)Teaching Action ResearchHandbook on Teaching Empirical Software Engineering10.1007/978-3-031-71769-7_14(387-411)Online publication date: 25-Dec-2024
https://doi.org/10.1007/978-3-031-71769-7_14
Silva MFreire APerkusich MAlbuquerque DGorgonio KAlmeida HPerkusich AGuimaraes E(2021)A Comparative Analysis of Agile Teamwork Quality Models2021 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)10.23919/SoftCOM52868.2021.9559062(1-6)Online publication date: 23-Sep-2021
https://doi.org/10.23919/SoftCOM52868.2021.9559062
Staron MMeding WSöder OOchodek M(2021)Improving Quality of Code Review Datasets – Token-Based Feature Extraction MethodSoftware Quality: Future Perspectives on Software Engineering Quality10.1007/978-3-030-65854-0_7(81-93)Online publication date: 6-Jan-2021
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EASE '16: Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering

June 2016

310 pages

ISBN:9781450336918

DOI:10.1145/2915970

Conference Chair:
Sarah Beecham,
Program Chairs:
Barbara Kitchenham,
Stephen G. MacDonell

Copyright © 2016 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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Published: 01 June 2016

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EASE '16

EASE '16: 20th International Conference on Evaluation and Assessment in Software Engineering

June 1 - 3, 2016

Limerick, Ireland

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Overall Acceptance Rate 71 of 232 submissions, 31%

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Cited By

Staron M(2024)Teaching Action ResearchHandbook on Teaching Empirical Software Engineering10.1007/978-3-031-71769-7_14(387-411)Online publication date: 25-Dec-2024
https://doi.org/10.1007/978-3-031-71769-7_14
Silva MFreire APerkusich MAlbuquerque DGorgonio KAlmeida HPerkusich AGuimaraes E(2021)A Comparative Analysis of Agile Teamwork Quality Models2021 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)10.23919/SoftCOM52868.2021.9559062(1-6)Online publication date: 23-Sep-2021
https://doi.org/10.23919/SoftCOM52868.2021.9559062
Staron MMeding WSöder OOchodek M(2021)Improving Quality of Code Review Datasets – Token-Based Feature Extraction MethodSoftware Quality: Future Perspectives on Software Engineering Quality10.1007/978-3-030-65854-0_7(81-93)Online publication date: 6-Jan-2021
https://doi.org/10.1007/978-3-030-65854-0_7
Saraiva RMedeiros APerkusich MValadares DGorgonio KPerkusich AAlmeida H(2020)A Bayesian Networks-Based Method to Analyze the Validity of the Data of Software Measurement ProgramsIEEE Access10.1109/ACCESS.2020.30352178(198801-198821)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3035217
Staron MStaron M(2019)Action TakingAction Research in Software Engineering10.1007/978-3-030-32610-4_5(73-92)Online publication date: 25-Nov-2019
https://doi.org/10.1007/978-3-030-32610-4_5
Staron MStaron M(2019)Action Research as Research Methodology in Software EngineeringAction Research in Software Engineering10.1007/978-3-030-32610-4_2(15-36)Online publication date: 25-Nov-2019
https://doi.org/10.1007/978-3-030-32610-4_2
Staron M(2019)Action Research in Software Engineering: Metrics’ Research Perspective (Invited Talk)SOFSEM 2019: Theory and Practice of Computer Science10.1007/978-3-030-10801-4_4(39-49)Online publication date: 11-Jan-2019
https://doi.org/10.1007/978-3-030-10801-4_4
Wen SNilsson CStaron MSentilles SBoehm BTrubiani CFranch XKoziolek A(2018)Assessing the release readiness of engine control softwareProceedings of the 1st International Workshop on Software Qualities and Their Dependencies10.1145/3194095.3194099(5-12)Online publication date: 28-May-2018
https://dl.acm.org/doi/10.1145/3194095.3194099
Parra OEspana SPanach J(2017)Extending and validating gestUI using technical action research2017 11th International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2017.7956558(341-352)Online publication date: May-2017
https://doi.org/10.1109/RCIS.2017.7956558

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