Abstract
The success of a software product depends on its functionality and quality compliance. Customer satisfaction, which is vital for an IT organization’s business, is greatly influenced by the quality of the delivered product. Quality is ensured through thorough testing based on accurate test planning. Accurate test planning requires a reliable estimation of the test effort. Our work proposes an innovative method for estimating system test effort for object-oriented systems (OOS) using the highly popular UML Class models. As part of the experimental study, we have presented the test effort estimation steps for a recently completed Web-based project executed in a well-established IT organization. The results obtained confirmed that the proposed approach has the potential to estimate the test effort with reasonable accuracy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Costagliola, G., Ferrucci, F., Tortora, G., Vitiello, G.: Class point: an approach for the size estimation of object-oriented systems. IEEE Trans. Softw. Eng. 31(1), 52–74 (2005)
Satapathy, S.M., Kumar, M., Rath, S.K.: Class point approach for software effort estimation using soft computing techniques. In: International Conference on Advances in Computing, Communications and Informatics, pp. 178–183. IEEE (2013)
Kim, S., Lively, W.M., & Simmons, D.B.: An effort estimation by UML points in early stage of software development. Softw. Eng. Res. Pract., 415–421 (2006)
Azzeh, M., Nassif, A. B.: A hybrid model for estimating software project effort from Use Case Points. Appl. Soft Comput. 49, 981–989 (2016)
Ochodek, M., Nawrocki, J., Kwarciak, K.: Simplifying effort estimation based on Use Case Points. Inf. Softw. Technol. 53, 200–213 (2011)
Clemmons, R.K.: Project estimation with Use Case Points. J. Defence Softw. Eng. 18–22 (2006)
Sahoo, P., Mohanty, J.R.: Early test effort prediction using UML diagrams. Indonesian J. Electr. Eng. Comput. Sci. 5, 220–228 (2017)
Nageswaran, S.: Test effort estimation using use case points. Quality Week, 1–6 (2001)
Zhou, W., Liu, Q.: Extended class point approach of size estimation for oo product. In: ICCET, vol. 4, pp. 117–122. IEEE (2010)
Kanmani, S., Kathiravan, J., Kumar, S.S., Shanmugam, M.: Class point based effort estimation of oo systems using fuzzy subtractive clustering and artificial neural networks. In: ISEC’08, pp. 141–142. ACM (2008)
Zivkovic, A., Hericko, M., Brumen, B., Beloglavec, S., Rozman, I.: The impact of details in the class diagram on software size estimation. Inst. Math. Inform. 16(2), 295–312 (2005)
Acknowledgements
This work is supported by historical project information provided by Compcerv and a number of test experts employed in prominent IT organizations in India.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sahoo, P., Mohanty, J.R. (2020). System Test Effort Estimation Using Class Model: A Case Study. In: Satapathy, S., Bhateja, V., Mohanty, J., Udgata, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 159. Springer, Singapore. https://doi.org/10.1007/978-981-13-9282-5_22
Download citation
DOI: https://doi.org/10.1007/978-981-13-9282-5_22
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9281-8
Online ISBN: 978-981-13-9282-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)