Abstract
[Context and motivation]PLEvo-Scoping is a method intended to help Product Line (PL) scoping teams anticipate emergent features and distinguish unstable from stable features, with the aim of preparing their PL for likely future adaptation needs. [Question/problem]This paper describes a quasi-experiment performed to characterize PLEvo-Scoping in terms of adequacy and feasibility. [Principal ideas/results] This quasi-experiment was performed by two scoping teams in charge of scoping the same PL, where one scoping team applied first an existing PL scoping approach and then PLEvo-Scoping, while the other scoping team interweaved activities from both. The two approaches achieved similar results: The method could be applied in just one day, and it was considered adequate and feasible. [Contribution] Ideas on how to improve the method and its tool support have been obtained, and similar results are expected from other professionals facing the problem of evolution-centered PL scoping. However, further empirical studies should be performed.
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
Clements, P., Northrop, L.: Software Product Lines: Practices and Patterns. Addison-Wesley, Reading (2001)
Pohl, K., Böckle, G., van der Linden, F.: Software Product Line Engineering: Foundations, Principles, and Techniques. Springer, Heidelberg (2005)
Knauber, P., Succi, G.: Perspectives on Software Product Lines. Software Engineering Notes 27(2), 40–45 (2002)
Savolainen, J., Kuusela, J.: Volatility Analysis Framework for Product Lines. In: Proc. SSR 2001, Toronto, pp. 133–141 (2001)
Bayer, J., Flege, O., Knauber, P., et al.: PuLSE: A Methodology to Develop Software Product Lines. In: Proc. SSR 1999, Los Angeles, pp. 122–131 (1999)
Bengtsson, P., Lassing, N., Bosch, J., van Vliet, H.: Analyzing Software Architectures for Modifiability. TR HK-R-RES00/11-SE, University of Karlskrona/Ronneby. Ronneby (2000)
Schmid, K.: Planning Software Reuse – A Disciplined Scoping Approach for Software Product Lines. PhD Theses in Experimental Software Engineering. Fraunhofer IRB (2003)
John, I., Knodel, J., Lehner, T., et al.: A Practical Guide to Product Line Scoping. In: Proc. SPLC 2006, Baltimore, pp. 3–12 (2006)
Villela, K., Dörr, J., Gross, A.: Proactively Managing the Evolution of Embedded System Requirements. In: Proc. RE 2008, Barcelona, pp. 13–22 (2008)
John, I., Villela, K., Gross, A.: AAL Platform Product Line – Scoping Results and Recommendations. TR 074.09/E, Fraunhofer IESE, Kaiserslautern (2009) (available upon request)
Zelkowitz, M., Wallace, D.: Experimental Models for Validating Technology. IEEE Computer 31(5), 23–31 (1998)
Basili, V., Caldiera, G., Rombach, H.: Goal Question Metrics Paradigm. Encyclopedia of Software Engineeering 1, 528–532 (1994)
Villela, K., John, I.: Usage of PLEvo-Scoping in the Ambient Assisted Living Domain: A Quasi-Experiment Package. TR 093.09/E, Fraunhofer IESE, Kaiserslautern (2010)
Wohlin, C., Runeson, P., Höst, M., et al.: Experimentation in Software Engineering: An Introduction. Kluwer Academic Publishers, Norwell (2000)
Yin, R.: Case Study Research: Design and Methods, 3rd edn. Sage Publications, Thousand Oaks (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Villela, K., Dörr, J., John, I. (2010). Evaluation of a Method for Proactively Managing the Evolving Scope of a Software Product Line. In: Wieringa, R., Persson, A. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2010. Lecture Notes in Computer Science, vol 6182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14192-8_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-14192-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14191-1
Online ISBN: 978-3-642-14192-8
eBook Packages: Computer ScienceComputer Science (R0)