On the impact of obliviousness and quantification on model composition effort

Everton Guimaraes; Alessandro Garcia; Kleinner Farias

doi:10.1145/2554850.2555034

On the impact of obliviousness and quantification on model composition effort

Everton Guimaraes, Alessandro Garcia, Kleinner Farias

Engineering Division (Great Valley)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Researchers and practitioners advocate that design properties, such as obliviousness and quantification, can improve the modularity of software systems, thereby reducing the effort of composing design models. However, there is no empirical knowledge about how these design properties impact model composition effort. This paper, therefore, performs an empirical study to understand this impact. The main contributions are: (i) quantitative indicators to evaluate to what extent such design properties impact model composition effort; (ii) an objective evaluation of the impact of such modularity properties in 26 versions of two software projects by using statistical tests; and (iii) lessons learned on whether (and how) modularity anomalies related to misuse of quantification and obliviousness in the input models can significantly increase model composition effort.

Original language	English (US)
Title of host publication	Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014
Publisher	Association for Computing Machinery
Pages	1043-1048
Number of pages	6
ISBN (Print)	9781450324694
DOIs	https://doi.org/10.1145/2554850.2555034
State	Published - 2014
Event	29th Annual ACM Symposium on Applied Computing, SAC 2014 - Gyeongju, Korea, Republic of Duration: Mar 24 2014 → Mar 28 2014

Publication series

Name	Proceedings of the ACM Symposium on Applied Computing

Other

Other	29th Annual ACM Symposium on Applied Computing, SAC 2014
Country/Territory	Korea, Republic of
City	Gyeongju
Period	3/24/14 → 3/28/14

All Science Journal Classification (ASJC) codes

Software

Access to Document

10.1145/2554850.2555034

Cite this

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title = "On the impact of obliviousness and quantification on model composition effort",

abstract = "Researchers and practitioners advocate that design properties, such as obliviousness and quantification, can improve the modularity of software systems, thereby reducing the effort of composing design models. However, there is no empirical knowledge about how these design properties impact model composition effort. This paper, therefore, performs an empirical study to understand this impact. The main contributions are: (i) quantitative indicators to evaluate to what extent such design properties impact model composition effort; (ii) an objective evaluation of the impact of such modularity properties in 26 versions of two software projects by using statistical tests; and (iii) lessons learned on whether (and how) modularity anomalies related to misuse of quantification and obliviousness in the input models can significantly increase model composition effort.",

author = "Everton Guimaraes and Alessandro Garcia and Kleinner Farias",

year = "2014",

doi = "10.1145/2554850.2555034",

language = "English (US)",

isbn = "9781450324694",

series = "Proceedings of the ACM Symposium on Applied Computing",

publisher = "Association for Computing Machinery",

pages = "1043--1048",

booktitle = "Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014",

}

Guimaraes, E, Garcia, A & Farias, K 2014, On the impact of obliviousness and quantification on model composition effort. in Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014. Proceedings of the ACM Symposium on Applied Computing, Association for Computing Machinery, pp. 1043-1048, 29th Annual ACM Symposium on Applied Computing, SAC 2014, Gyeongju, Korea, Republic of, 3/24/14. https://doi.org/10.1145/2554850.2555034

On the impact of obliviousness and quantification on model composition effort. / Guimaraes, Everton; Garcia, Alessandro; Farias, Kleinner.
Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014. Association for Computing Machinery, 2014. p. 1043-1048 (Proceedings of the ACM Symposium on Applied Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - On the impact of obliviousness and quantification on model composition effort

AU - Guimaraes, Everton

AU - Garcia, Alessandro

AU - Farias, Kleinner

PY - 2014

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N2 - Researchers and practitioners advocate that design properties, such as obliviousness and quantification, can improve the modularity of software systems, thereby reducing the effort of composing design models. However, there is no empirical knowledge about how these design properties impact model composition effort. This paper, therefore, performs an empirical study to understand this impact. The main contributions are: (i) quantitative indicators to evaluate to what extent such design properties impact model composition effort; (ii) an objective evaluation of the impact of such modularity properties in 26 versions of two software projects by using statistical tests; and (iii) lessons learned on whether (and how) modularity anomalies related to misuse of quantification and obliviousness in the input models can significantly increase model composition effort.

AB - Researchers and practitioners advocate that design properties, such as obliviousness and quantification, can improve the modularity of software systems, thereby reducing the effort of composing design models. However, there is no empirical knowledge about how these design properties impact model composition effort. This paper, therefore, performs an empirical study to understand this impact. The main contributions are: (i) quantitative indicators to evaluate to what extent such design properties impact model composition effort; (ii) an objective evaluation of the impact of such modularity properties in 26 versions of two software projects by using statistical tests; and (iii) lessons learned on whether (and how) modularity anomalies related to misuse of quantification and obliviousness in the input models can significantly increase model composition effort.

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T3 - Proceedings of the ACM Symposium on Applied Computing

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BT - Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014

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Y2 - 24 March 2014 through 28 March 2014

ER -

On the impact of obliviousness and quantification on model composition effort

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