Abstract
[Context and motivation] Studies have emphasized the need for effective requirements elicitation owing to its significant impacts on software quality and overall project outcomes to meet system objectives. The empirical studies in literature present the relationships between the specific characteristics that affect elicitation and project performance that focus on process control and product flexibility. There is, however, no substantial research on the empirical relationship between the generalized problems in requirements elicitation and project performance. [Question/problem]The issues encountered in requirements elicitation generalized through categories of problems of scope, problems of volatility and problems of understanding. This study aims in establishing an empirical model to study the behavior between the requirements elicitation issues and project performance. This study also validates the model for its consistency with practitioner’s views and earlier studies.[Principal ideas/ results] Researchers and practitioners have focused on developing tools and techniques that will enhance the requirements elicitation and analysis phases. However, the effectiveness of the tool usage is dependent on skills and behaviors of people and organization using them. The aspects of behavior are best modeled using techniques adopted in social research, viz. confirmatory factor analysis; the technique is adopted for this study. [Contribution] This study deduced a causal relationship between the requirements elicitation issues and project performance. This study also attempted to establish a priority-setting and decision-making to address elicitation issues that can control and manage residual performance risks.
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
Christel, M.G., Kang, K.C.: Issues in Requirements Elicitation. Technical Report, Software Engineering Institute (1992)
Nidumolu, S.: The effect of coordination and uncertainty on software project performance: residual performance risk as an intervening variable. Information Systems Research, 191–219 (1995)
Nidumolu, S.: A comparison of the structural contingency and risk-based perspectives on coordination in software-development projects. Journal of Management Information Systems, 77–113 (1996)
Brown, T.A.: Confirmatory factor analysis for applied research. Guilford Press (2006)
Cho, K., TaeHoon, H., ChangTaek, H.: Effect of project characteristics on project performance in construction projects based on structural equation model. Expert Systems with Applications, 10461–10470 (2009)
Bagozzi, R.P., Youjae, Y.: Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 8–34 (2012)
Gaskin, J.: Stats Tools Package, http://statwiki.kolobkreations.com
Hair, J., Black, W., Babin, B., Anderson, R.: Multivariate data analysis. Prentice-Hall, Inc. (2010)
Wang, E.T.G., Pei-Hung, J., James, J.J., Klein, G.: The effects of change control and management review on software flexibility and project performance. Information & Management, 438–443 (2008)
Zowghi, D., Nur, N.: A study of the impact of requirements volatility on software project performance. In: Software Engineering Conference, pp. 3–11. IEEE (2002)
Al-Zayyat, N.A., Firas, A., Ibrahem, T., Ghassan, A.: The Effect of Knowledge Management Processes on project Management. IBIMA Business Review (2009)
Kujala, S., Marjo, K., Laura, L., Tero, K.: The role of user involvement in requirements quality and project success. In: 13th IEEE International Conference on, pp. 75–84 (2005)
Lin, W.T., Benjamin, S.: The relationship between user participation and system success: a simultaneous contingency approach. Information & Management, 283–295 (2000)
Liu, J., Hun-Gee, C., Charlie, C.C., Tsong, S.S.: Relationships among interpersonal conflict, requirements uncertainty, and software project performance. International Journal of Project Management, 547–556 (2011)
Aronson, Z.H., Richard, R.R., Gary, S.L.: The impact of leader personality on new product development teamwork and performance: The moderating role of uncertainty. Journal of Engineering and Technology Management, 221–247 (2006)
Sundararaman, A.: Information Quality Strategy - An Empirical Investigation of the Relationship Between Information Quality Improvements and Organizational Outcomes, Ph.D. dissertation (2012)
Jiang, J.J., Klein, G., Wu, S.P.J., Liang, T.P.: The relation of requirements uncertainty and stakeholder perception gaps to project management performance. Journal of Systems and Software, 801–808 (2009)
Nosheen, S., Faiza, I., Farooque, A., Muhammad, Y.J.: An Iterative Approach for Global Requirements Elicitation: A Case Study Analysis. Electronics and Information Engineering, 361–366 (2010)
Sethia, N., Pillai, A.S.: A survey on global requirements elicitation issues and proposed research framework. In: 2013 4th IEEE International Conference on Software Engineering and Service Science (ICSESS), pp. 554–557 (2013)
Petersen, K., Gencel, C.: Worldviews, Research Methods, and their Relationship to Validity in Empirical Software Engineering Research. In: Proceedings of the Joint Conference of the 23rd International Workshop on Software Measurement and the 8th International Conference on Software Process and Product Measurement (2013)
Sethia, N., Pillai, A.S.: A study on the software requirements elicitation issues – its causes and effects. In: World Congress on Information and Communication Technologies (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Sethia, N.K., Pillai, A.S. (2014). The Effects of Requirements Elicitation Issues on Software Project Performance: An Empirical Analysis. In: Salinesi, C., van de Weerd, I. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2014. Lecture Notes in Computer Science, vol 8396. Springer, Cham. https://doi.org/10.1007/978-3-319-05843-6_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-05843-6_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05842-9
Online ISBN: 978-3-319-05843-6
eBook Packages: Computer ScienceComputer Science (R0)