Abstract
The paper presents a novel model for the process of managing software Variability – the ability of a software system or artefact to be extended, changed, customized or configured for use in a specific context – in Software Product Line (PL). The process pretends to be enhanced (i. e. consistent, scalable, traceable, visible and rational as for the decisions being made on Variability) to mitigate some its limitations. To this end the Model proposed composes: Management Functions uniformly combining all the actions on variability into single cycle like Doeming Plan-Do-Check-Act one; due quality Demands for the Functions; their Environment driven with another novel Model of Variability in PL. It consistently represents variability both in PL structure and artefacts across all PL development stages and stakeholders’ viewpoints along with the dedicated assessment submodel purposing at the decisions’ rationality. Presented sample Case Study with trial Workflow-based Configurator tool just developed in the Institute of Software Systems of NAS promises availability of the process constructed for efficient automated support.
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References
Lavrischeva, E.: Generative Programming of Software Products and Their Families (in Ukrainian). In: Problems in Programming, vol. 1, pp. 3–16. Kiev (2009)
Lavrischeva, E., Koval, G., Babenko, L., Slabospitska, O., Ignatenko, P.: New Theoretical Foundations of Production Methods of Software Systems in Generative Programming Context (in Ukrainian). In: Electronic Monograph, UK-2011, vol. 67. Kiev (2011)
van der Linden, F., Schmid, K., Rommes, E.: Software product lines in action: the best industrial practice in product line engineering. Springer, Heidelberg (2007)
Metzger, A., Heymans, P., Pohl, K., Schobbens, P.-Y., Saval, G.: Disambiguating the Documentation of Variability in Software Product Lines: A Separation of Concerns, Formalization and Automated Analysis. In: 15th IEEE International Requirements Engineering Conference, pp. 243–253. IEEE Press, New York (2007)
Berg, K., Bishop, J., Muthig, D.: Tracing Software Product Line Variability – From Problem to Solution Space. In: Proc. of SAICSIT 2005, pp. 111–120 (2005)
Deelstra, S., Sinnema, M., Bosch, J.: Variability assessment in software product families. In: Information and Software Technology, vol. 51, pp. 195–218. Elsevier (2009)
Walton, M.: The Deming Management method. Dodd, Mead. New York (1986)
Lavrischeva, K., Slabospickaya, O., Kolesnik, A., Koval, G.: The Theoretical View for Software Family Variability Management (in Ukrainian). In: Bulletin of University of Kiev. Physics & Mathematics, vol. 1, pp. 151–158. Kiev (2011)
Lavrischeva, E., Slabospitcka, O.: An Approach for Expert Assessment in Software Engineering. Cybernetics and Systems Analysis 45(4), 638–654 (2009)
Lavrischeva, E.: Instrumental and Technological Complex for Developing and Learning Aspects of Software System Development (in Ukrainian). In: Bulletin of NAS of Ukraine, vol. 3, pp. 17–27. Kiev (2012)
Kolesnik, A.: Approaches to Configure Reusable Assets (in Ukrainian). In: Problems in Programming, vol. 4, pp. 63–71. Kiev (2011)
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Slabospitskaya, O., Kolesnyk, A. (2013). The Model for Enhanced Variability Management Process in Software Product Line. In: Mayr, H.C., Kop, C., Liddle, S., Ginige, A. (eds) Information Systems: Methods, Models, and Applications. UNISCON 2012. Lecture Notes in Business Information Processing, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38370-0_15
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DOI: https://doi.org/10.1007/978-3-642-38370-0_15
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