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Towards a quality model for model composition effort

Published: 24 March 2014 Publication History

Abstract

This paper proposes an initial quality model for model composition effort, which serves as a frame of reference to developers and researchers to plan and perform qualitative and quantitative investigations, as well as replicate and reproduce empirical studies. A series of empirical studies supports the proposed quality model, including five industrial case studies, two controlled experiments, three quasi-experiments, interviews and seven observational studies. Moreover, these studies have systematically demonstrated the real benefits of using a frame of reference to enable learning about model composition effort from experimentation.

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Rosa, M et. al., Business Process Model Merging: An Approach to Business Process Consolidation, Journal Trans. on Soft. Eng. Method. vol. 22, no. 2, 2013.
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Runeson, P., et al., Variation Factors in the Design and Analysis of Replicated Controlled Experiments, Journal Empirical Software Engineering, pages 1--28, 2013.
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Farias, K., Garcia, A., Whittle, J., Lucena, C., Analyzing the Effort of Composing Design Models of Large-Scale Software in Industrial Case Studies, In: MODELS'13, 2013.
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Farias, K., Garcia, A., Lucena, C., Evaluating the Impact of Aspects on Inconsistency Detection Effort: A Controlled Experiment, In: MODELS'12, pages 219--234, 2012.
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Farias, K. et al., Evaluating the Effort of Composing Design Models: A Controlled Experiment, In: MODELS'12, pages 676--691, 2012.
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Farias, K., Garcia, A., Whittle, J., Assessing the Impact of Aspects on Model Composition Effort, In: 9th AOSD, pages 73--84, Rennes and Saint-Malo, France, 2010.
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Lange, C. Assessing and Improving the Quality of Modeling A Series of Empirical Studies about the UML, PhD Thesis, Technische Universiteit Eindhoven, Eindhoven, 2007.
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Wust, J. The Software Design Metrics Tool for the UML, http://www.sdmetrics.com, 2012.
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Boehm, B., et al., Characteristics of Software Quality, vol. 1 of TRW Series of Software Technology, North-Holland Publishing Company, Amsterdam, 1978.
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Mccall, J., Richards, P., Walters, G. Factors in Software Quality, vol. 1--3 of AD/A-049-015/055, Springfield, 1977.
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Marín, B., et al., A Quality Model for Conceptual Models of MDD Environments, Advances in Soft. Engineering, 2010.
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Farias, K., Garcia, A., Lucena, C. Effects of Stability on Model Composition Effort: an Exploratory Study, Journal on Software and Systems Modeling, pages 1--22, January 2013.

Cited By

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  • (2020)Using biometric data in software engineering: a systematic mapping studyBehaviour & Information Technology10.1080/0144929X.2020.1734086(1-23)Online publication date: 6-Mar-2020

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cover image ACM Conferences
SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing
March 2014
1890 pages
ISBN:9781450324694
DOI:10.1145/2554850
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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Publication History

Published: 24 March 2014

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Author Tags

  1. empirical software engineering
  2. model composition

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SAC 2014
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SAC 2014: Symposium on Applied Computing
March 24 - 28, 2014
Gyeongju, Republic of Korea

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SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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SAC '25
The 40th ACM/SIGAPP Symposium on Applied Computing
March 31 - April 4, 2025
Catania , Italy

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  • (2020)Using biometric data in software engineering: a systematic mapping studyBehaviour & Information Technology10.1080/0144929X.2020.1734086(1-23)Online publication date: 6-Mar-2020

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