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A framework for source code metrics

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CompSysTech '10: Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies

Pages 113 - 118

https://doi.org/10.1145/1839379.1839400

Published: 17 June 2010 Publication History

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Abstract

The paper presents our approach to the systematic and tool-supported source code measurement for quality analysis. First, we describe the results of the performed thorough study about the use of some static measurement tools. We classify them as reporting and combining and manage to elucidate the main requirements for a feasible framework, supporting a set of such metrics. Next the details about the design and implementation principles of the framework are given. In conclusion we share some ideas about future scientific and practice-oriented work in this area.

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C. Jones, Software Engineering Best Practices, Mc Grow Hill, 2010

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M. Lanza and R. Marinescu, Object-Oriented Metrics in Practice, first edition, Berlin: Springer Verlag, 2006.

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N. Nagappan, T. Ball and A. Zeller, "Mining Metrics to Predict Component Failures", Proceedings of the 28th international conference on Software engineering, 2006, pp. 452--461

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Valenca KCanedo EDa Costa Figueiredo R(2018)Construction of a Software Measurement Tool Using Systematic Literature Review2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)10.1109/Cybermatics_2018.2018.00308(1852-1859)Online publication date: Jul-2018
https://doi.org/10.1109/Cybermatics_2018.2018.00308

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Published In

June 2010

575 pages

ISBN:9781450302432

DOI:10.1145/1839379

Editors:
Boris Rachev
Varna Technical University, Bulgaria
,
Angel Smrikarov
University of Ruse, Ruse, Bulgaria

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: 17 June 2010

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CompSysTech '10

CompSysTech '10: Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing

June 17 - 18, 2010

Sofia, Bulgaria

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Overall Acceptance Rate 241 of 492 submissions, 49%

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Valenca KCanedo EDa Costa Figueiredo R(2018)Construction of a Software Measurement Tool Using Systematic Literature Review2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)10.1109/Cybermatics_2018.2018.00308(1852-1859)Online publication date: Jul-2018
https://doi.org/10.1109/Cybermatics_2018.2018.00308

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