Abstract
Software metrics make meaningful information such as reliability, maintainability to help developers, architecture and so on. It also decides what kind of information is needed to produce a meaningful result from a preset goal. Software metrics should be customizable according to the needs of different users. Earlier, software metrics were not flexible as they supported results focusing on one particular goal. To resolve these problems, we suggest new software metric named Parametric Software Metric. It can be customized by users and it also supports a formula to make a result. Users will get an appropriate result by customizing and using it.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Scotto, M., Sillitti, A.: A relational approach to software metrics. In: Proc. of the 2004 ACM symposium on Applied computing, pp. 1536–1540 (2004)
Umarji, M., Seaman, C.: Gauging acceptance of software metrics: Comparing perspectives of managers and developers. In: 3rd Int. Symposium on Empirical Software Engineering and Measurement (ESEM 2009), pp. 236–247 (2009)
Fenton, N.: New Directions for Software Metrics. In: Keynote Talk CIO Symposium on Software Best Practices, pp. 1–21 (2006)
Roche, J.M.: Roche.: Software Metrics and Measurement Principles. ACM SIGSOFT Software Engineering Notes 19(1), 77–85 (1994)
Linda, M., Laird, M., Brennan, C.: Software Measurement and Estimations: A Practical Approach. Wiley-IEEE Computer Society Press, Chichester (2006)
Fenton, N.E., pfleeger, S.L.: Software Metrics: A Rigorous and Practical Approach, 2nd edn. PWS Publishing Co (1997)
Quality Assurance and Metrics, http://www.eecs.qmul.ac.kr/~norman/papers/qa_metrics_artical/index_qa_met.htm
Kaur, A., Singh, S.: Empirical Analysis of CK & MOOD Metric Suit. Int. Journal of Innovation, Management and Technology 1(5) (2010)
Kaner, C., Bond, W.: Software engineering metrics: What do they measure and how do we know? In: 10th Int. Software Metrics Symposium(METRICS 2004). IEEE Computer Society Press, Los Alamitos (2004)
Canfora, G., Concas, G.: 2010 ICSE Workshop on Emerging Trends in Software Metrics. ACM SIGSOFT Software Engineering Notes 35(5), 51–53 (2010)
Lincke, R., Lundberg, J.: Comparing software metrics tools. In: Proc. of the 2008 international symposium on Software testing and analysis, pp. 131–142 (2008)
Lisper, B.: Fully automatic, parametric worst-case execution time analysis. In: 3rd International Workshop on Worst-Case Execution Time Analysis, pp. 99–102. Polytechnic Institute of Porto, Portugal (2003)
Vivancos, E., Healy, C., Mueller, F., Whalley, D.: Parametric Timing Analysis. In: Workshop on Language, Compilers, and Tools for Embedded Systems, vol. 36(8), pp. 88–93. ACM Press, New York (2001)
Bernat, G., Burns, A.: An Approach To Symbolic Worst-Case Execution Time Analysis. In: Proc. 25th IFAC Workshop on Real-Time Programming (2000)
Coffman, J., Healy, C., Mueller, F., Whalley, D.: Generalizing parametric timing analysis. In: Proc. of the 2007 ACM SIGPLAN/SIGBED Conference on LCTES 2007, vol. 42(7), pp. 152–154 (2007)
WCET project, http://www.mrtc.mdh.se/projects/wcet/benchmarks.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shin, W., Kim, TW., Kim, DH., Chang, CH. (2011). Parametric Software Metric. In: Zain, J.M., Wan Mohd, W.M.b., El-Qawasmeh, E. (eds) Software Engineering and Computer Systems. ICSECS 2011. Communications in Computer and Information Science, vol 181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22203-0_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-22203-0_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22202-3
Online ISBN: 978-3-642-22203-0
eBook Packages: Computer ScienceComputer Science (R0)