Abstract
In order to keep the Capability Maturity Model levels four and higher, the quality of software development must be controlled by a quantification of the software development process as well as the product and the resources in the different phases. The quantification by means of software measurement needs a unified strategy, methodology or approach as one important prerequisite to guarantee the goals of quality assurance, improvement and controlled software management to be achieved. Nowadays, plenty of methods such as measurement frameworks, maturity model, goal-directed paradigms, process languages etc. exist to support this idea. However, the current approaches are based on a static view. This paper describes an Object-Oriented (OO) approach to a software measurement framework aimed at evaluating software products, software process, and resources. This approach includes the dynamic characteristics in software measurement, considering the behavior aspects of software metrics. The framework is described in principle based on some first practical applications.
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
References
Saifan, A.A., Alsukhni, E., Alawneh, H., Sbaih, A.A.: Test case reduction using data mining technique. Int. J. Softw. Innov. (IJSI) 4(4), 56–70 (2016)
Kang, M., Choi, O., Shin, J., Baik, J.: Improvement of software reliability estimation accuracy with consideration of failure removal effort. Int. J. Netw. Distrib. Comput. 1(1), 25–36 (2013)
Chen, S., Sun, D., Miao, H.: The influence of alias and references escape on Java program analysis. In: Software Engineering Research, Management and Applications, pp. 99–111. Springer International Publishing (2015)
Unterkalmsteiner, M., Gorschek, T., Islam, A.M., Cheng, C.K., Permadi, R.B., Feldt, R.: Evaluation and measurement of software process improvement–a systematic literature review. IEEE Trans. Softw. Eng. 38(2), 398–424 (2012)
Lee, M.C., Chang, T.: Software measurement and software metrics in software quality. Int. J. Softw. Eng. Appl. 7(4), 15–34 (2013)
Sinha, B.K., Sinhal, A., Verma, B.: A software measurement using artificial neural network and support vector machine. Int. J. Softw. Eng. Appl. 4(4), 41 (2013)
Easterbrook, S.: Empirical research methods for software engineering. In: Proceedings of the Twenty-Second IEEE/ACM International Conference on Automated Software Engineering, pp. 574–574. ACM(2007)
Farooq, S.U., Quadri, S.M.K., Ahmad, N.: Software measurements and metrics: role in effective software testing. Int. J. Eng. Sci. Technol. (IJEST) 3(1), 671–680 (2011)
Timothy, B.: Introduction to Object-oriented Programming. Pearson Education India (2008)
Huang, R., Li, M., Li, Z.: Research of improving the quality of the object-oriented system. Int. J. Inf. Educ. Technol. 3(4), 433 (2013)
Vinayak, A.: Research Issues in Object Oriented Software Testing, 18 Jan 2017
Jones, C.: Applied Software Measurement: Global Analysis of Productivity and Quality. McGraw-Hill Education Group, New York (2008)
Rawat, M.S., Mittal, A., Dubey, S.K.: Survey on impact of software metrics on software quality. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 3(1) (2012)
Elbert, C., Dumke, R., Bundschuh, M., Schmietendorf, A.: Best Practices in Softwre Measurement, How to Use Metrics to Improve Projet and Process Performance. Springer, Berlin (2005)
Dumke, R., Abran, A.: Software Measurement, 272 p. Springer Science & Business Media, Nov 11. Business & Economics
Kim, H.-K.: A Framework for Mobile Applications Quality Measurement and Evaluation
Acknowledgements
This work is supported by Catholic University of Daegu, Republic of Korea.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Zaragoza, M.G., Kim, HK. (2018). Proposed Framework Application for a Quality Mobile Application Measurement and Evaluation . In: Lee, R. (eds) Computational Science/Intelligence and Applied Informatics. CSII 2017. Studies in Computational Intelligence, vol 726. Springer, Cham. https://doi.org/10.1007/978-3-319-63618-4_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-63618-4_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-63617-7
Online ISBN: 978-3-319-63618-4
eBook Packages: EngineeringEngineering (R0)