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Change Impact in Product Lines: A Systematic Mapping Study

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Information and Software Technologies (ICIST 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 639))

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Abstract

A product line (PL) supports and simplifies the development process of (software) systems by reusing assets. As systems are subjected to frequent alterations, the implementation of this changes can be a complex and error-prone task. For this reason a change impact analysis (CIA) systematically identifies locations that are affected by a change. While both approaches (PL and CIA) per se are often discussed in literature, the combination of them is still a challenge. This paper gives a comprehensive overview of literature, which addresses the integration of PL and CIA concepts. Furthermore, we classify our results to outline both, the current research stage as well as gaps. Therefore, we conducted a systematic mapping study incorporating 165 papers. While most of the papers have their background within Software Product Lines (SPLs) (44.2 %) or PLs (5.5 %), CIA in the combination with Multi Product Lines (2.4 %) or Product Families (PFs) (1.8 %) is sparsely addressed in literature. The results show that CIA for SPLs has been partially addressed yet, whereas the consideration of different disciplines (PFs) is insufficiently covered.

C. Brink—This research has been partially supported by the Federal Ministry of Education and Research, project AMALTHEA4public no. 01IS14029J.

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Notes

  1. 1.

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References

  1. Amjad Alam, K., Binti Ahmad, R., Akhtar, M.: Change impact analysis and propagation in service based business process management systems preliminary results from a systematic review. In: 8th Malaysian Software Engineering Conference (2014)

    Google Scholar 

  2. Arnold, R.S.: Software Change Impact Analysis. IEEE Computer Society Press, Los Alamitos (1996)

    Google Scholar 

  3. Chen, L., Babar, M.A.: A systematic review of evaluation of variability management approaches in software product lines. Inf. Softw. Technol. 53, 344–362 (2011)

    Article  Google Scholar 

  4. Ferreira Bastos, J., Anselmo da Mota Silveira Neto, P., Santana de Almeida, E., Romero de Lemos Meira, S.: Adopting software product lines: a systematic mapping study. In: Conference on Evaluation Assessment in Software Engineering (2011)

    Google Scholar 

  5. Godfrey, M., German, D.: The past, present, and future of software evolution. In: Frontiers of Software Maintenance (2008)

    Google Scholar 

  6. Holl, G., Grünbacher, P., Rabiser, R.: A systematic review and an expert survey on capabilities supporting multi product lines. Inf. Softw. Technol. 54, 828–852 (2012)

    Article  Google Scholar 

  7. Kitchenham, B., Charters, S.: Guidelines for performing systematic literature reviews in software engineering. Technical report, Keele University and Durham University Joint Report (2007)

    Google Scholar 

  8. Laguna, M.A., Crespo, Y.: A systematic mapping study on software product line evolution: from legacy system reengineering to product line refactoring. Sci. Comput. Program. 78, 1010–1034 (2013)

    Article  Google Scholar 

  9. Lehnert, S.: A review of software change impact analysis. Technical report. Ilmenau University of Technology (2011)

    Google Scholar 

  10. Li, B., Sun, X., Leung, H., Zhang, S.: A survey of code-based change impact analysis techniques. Softw. Test. Verif. Reliab. 23, 613–646 (2013)

    Article  Google Scholar 

  11. Linden, F.J.v.d., Schmid, K., Rommes, E.: Software Product Lines in Action: The Best Industrial Practice in Product Line Engineering (2007)

    Google Scholar 

  12. Mockus, A., Votta, L.: Identifying reasons for software changes using historic databases. In: Proceedings of the International Conference on Software Maintenance (2000)

    Google Scholar 

  13. Mujtaba, S., Petersen, K., Feldt, R., Mattsson, M.: Software product line variability: a systematic mapping study. Blekinge Institute of Technology (2008)

    Google Scholar 

  14. Petersen, K., Feldt, R., Mujtaba, S., Mattsson, M.: Systematic mapping studies in software engineering. In: 12th International Conference on Evaluation and Assessment in Software Engineering (2008)

    Google Scholar 

  15. Petersen, K., Vakkalanka, S., Kuzniarz, L.: Guidelines for conducting systematic mapping studies in software engineering: an update. Inf. Softw. Technol. 64, 1–18 (2015)

    Article  Google Scholar 

  16. Pretschner, A., Broy, M., Kruger, I., Stauner, T.: Software engineering for automotive systems: a roadmap. In: Future of Software Engineering (2007)

    Google Scholar 

  17. Wieringa, R., Maiden, N.A.M., Mead, N.R., Rolland, C.: Requirements engineering paper classification and evaluation criteria: a proposal and a discussion. Requir. Eng. 11, 102–107 (2006)

    Article  Google Scholar 

  18. Wohlin, C.: Guidelines for snowballing in systematic literature studies and a replication in software engineering. In: Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering (2014)

    Google Scholar 

  19. Wohlin, C., Runeson, P., da Mota Silveira Neto, P.A., Engström, E., do Carmo Machado, I., de Almeida, E.S.: On the reliability of mapping studies in software engineering. J. Syst. Softw. 86, 2594–2610 (2013)

    Google Scholar 

Study References

  1. Ahmed, W., Myers, D.: Concept-based partitioning for large multidomain multifunctional embedded systems. ACM Trans. Design Autom. Electr. Syst. 15(3), 22:1–22:41 (2010). doi:10.1145/1754405.1754407. article no 22

    Google Scholar 

  2. Ajila, S., Kaba, B.A.: Using traceability mechanisms to support software product line evolution. In: International Conference on Information Reuse and Integration (2004)

    Google Scholar 

  3. Ajila, S.A., Bailetti, A.J., Dumitrescu, R.T.: Experience report on software product line evolution due to market reposition. In: Proceedings of the Workshop on Quantitative Techniques for Software Agile Process (2004)

    Google Scholar 

  4. Ajila, S.A., Kaba, A.B.: Evolution support mechanisms for software product line process. J. Syst. Softw. 81, 1784–1801 (2008)

    Article  Google Scholar 

  5. Alves, V., Matos Jr., P., Cole, L., Borba, P., Ramalho, G.L.: Extracting and evolving mobile games product lines. In: Obbink, H., Pohl, K. (eds.) SPLC 2005. LNCS, vol. 3714, pp. 70–81. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  6. Alves, V., Matos, P., Cole, L., Vasconcelos, A., Borba, P., Ramalho, G.: Extracting and evolving code in product lines with aspect-oriented programming. In: Rashid, A., Aksit, M. (eds.) Transactions on AOSD IV. LNCS, vol. 4640, pp. 117–142. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  7. Angerer, F.: Variability-aware change impact analysis of multi-language product lines. In: ACM/IEEE International Conference on Automated Software Engineering (2014)

    Google Scholar 

  8. Angerer, F., Prähofer, H., Lettner, D., Grimmer, A., Grünbacher, P.: Identifying inactive code in product lines with configuration-aware system dependence graphs. In: 18th International Software Product Line Conference (2014)

    Google Scholar 

  9. Araújo, J., Goulão, M., Moreira, A., Simão, I., Amaral, V., Baniassad, E.L.A.: Advanced modularity for building SPL feature models: a model-driven approach. In: Proceedings of the 28th Annual ACM Symposium on Applied Computing (2013)

    Google Scholar 

  10. Babar, M.A., Ihme, T., Pikkarainen, M.: An industrial case of exploiting product line architectures in agile software development. In: Proceedings of the 13th International Conference on Software Product Lines (2009)

    Google Scholar 

  11. Bachmann, F., Goedicke, M., Leite, J.C.S.P., Nord, R.L., Pohl, K., Ramesh, B., Vilbig, A.: A meta-model for representing variability in product family development. In: van der Linden, F.J. (ed.) PFE 2003. LNCS, vol. 3014, pp. 66–80. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  12. Baresi, L., Quinton, C.: Dynamically evolving the structural variability of dynamic software product lines. In: 10th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems (2015)

    Google Scholar 

  13. Batista, T.V., Bastarrica, M.C., Soares, S., da Silva, L.F.: A marriage of MDD and early aspects in software product line development. In: Proceedings of the 12th International Conference on Software Product Lines (2008)

    Google Scholar 

  14. Batory, D.S., Johnson, C., MacDonald, B., von Heeder, D.: Achieving extensibility through product-lines and domain-specific languages: a case study. ACM Trans. Softw. Eng. Methodol. 11, 191–214 (2002)

    Article  Google Scholar 

  15. Benlarabi, A., Khtira, A., Asri, B.E.: Analyzing trends in software product lines evolution using a cladistics based approach. Information 6, 550–563 (2015)

    Article  Google Scholar 

  16. Beuche, D., Papajewski, H., Schröder-Preikschat, W.: Variability management with feature models. Sci. Comput. Program. 53, 333–352 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  17. Dannenberg, R.B., Ran, A.: Evolution of software product families. In: van der Linden, F.J. (ed.) IW-SAPF 2000. LNCS, vol. 1951, p. 168. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  18. Cafeo, B.B.P., Dantas, F., Gurgel, A.C., Guimarães, E.T., Cirilo, E., Garcia, A.F., de Lucena, C.J.P.: Analysing the impact of feature dependency implementation on product line stability: an exploratory study. In: 26th Brazilian Symposium on Software Engineering (2012)

    Google Scholar 

  19. Carbon, R., Lindvall, M., Muthig, D., Costa, P.: Integrating product line engineering and agile methods: flexible design up-front vs. incremental design. In: 1st International Workshop on Agile Product Line Engineering (2006)

    Google Scholar 

  20. Catal, C.: Barriers to the adoption of software product line engineering. ACM SIGSOFT Softw. Eng. Notes 34, 1–4 (2009)

    Article  Google Scholar 

  21. Cavalcante, E., Almeida, A., Batista, T.V., Cacho, N., Lopes, F., Delicato, F.C., Sena, T.S., Pires, P.F.: Exploiting software product lines to develop cloud computing applications. In: 16th International Software Product Line Conference (2012)

    Google Scholar 

  22. Chen, C., Chen, P.: A holistic approach to managing software change impact. J. Syst. Softw. 82, 2051–2067 (2009)

    Article  Google Scholar 

  23. Chen, C., Liao, G., Lin, K.: An attribute-based and object-oriented approach with system implementation for change impact analysis in variant product design. Comput. Aided Des. 62, 203–217 (2015)

    Article  Google Scholar 

  24. Corrêa, C.K.F., de Oliveira, T.C., Werner, C.M.L.: An analysis of change operations to achieve consistency in model-driven software product lines. In: Workshop Proceedings of the 15th International Conference on Software Product Lines (2011)

    Google Scholar 

  25. Czarnecki, K., Helsen, S., Eisenecker, U.W.: Staged configuration through specialization and multilevel configuration of feature models. Softw. Process: Improv. Pract. 10, 143–169 (2005)

    Article  Google Scholar 

  26. Díaz, J., Pérez, J., Garbajosa, J.: Agile product-line architecting in practice: A case study in smart grids. Inf. Softw. Technol. 56(7), 727–748 (2014). Elsevier

    Google Scholar 

  27. Díaz, J., Pérez, J., Garbajosa, J., Wolf, A.L.: Change impact analysis in product-line architectures. In: Crnkovic, I., Gruhn, V., Book, M. (eds.) ECSA 2011. LNCS, vol. 6903, pp. 114–129. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  28. Díaz Fernández, J., Pérez Benedí, J., Yagüe Panadero, A., Garbajosa Sopeña, J.: Tailoring the scrum development process to address agile product line engineering. In: XVI Jornadas de Ingeniería del Software y base de Datos, JISBD (2011)

    Google Scholar 

  29. Dintzner, N.: Safe evolution patterns for software product lines. In: 37th IEEE/ACM International Conference on Software Engineering (2015)

    Google Scholar 

  30. Dintzner, N., Kulesza, U., van Deursen, A., Pinzger, M.: Evaluating feature change impact on multi-product line configurations using partial information. In: Proceedings of the 14th International Conference on Software Reuse, Software Reuse for Dynamic Systems in the Cloud and Beyond (2015)

    Google Scholar 

  31. Dyer, R., Rajan, H., Cai, Y.: An exploratory study of the design impact of language features for aspect-oriented interfaces. In: Proceedings of the 11th International Conference on Aspect-oriented Software Development (2012)

    Google Scholar 

  32. Fernández, J.D.: Agile construction and evolution of product-line architectures. Ph.D. thesis, Technical University of Madrid (2012)

    Google Scholar 

  33. Ferreira, F., Borba, P., Soares, G., Gheyi, R.: Making software product line evolution safer. In: 6th Brazilian Symposium on Software Components (2012)

    Google Scholar 

  34. Ferreira, G.C.S., Gaia, F.N., Figueiredo, E., de Almeida Maia, M.: A comparative study on the use of feature-oriented programming for evolving software product lines. Sci. Comput. Program. 93, 65–85 (2014)

    Article  Google Scholar 

  35. Figueiredo, E., Cacho, N., Sant’Anna, C., Monteiro, M., Kulesza, U., Garcia, A., Soares, S., Ferrari, F.C., Khan, S.S., Filho, F.C., Dantas, F.: Evolving software product lines with aspects: an empirical study on design stability. In: 30th International Conference on Software Engineering (2008)

    Google Scholar 

  36. Gaia, F.N., Ferreira, G.C.S., Figueiredo, E., de Almeida Maia, M.: A quantitative assessment of aspectual feature modules for evolving software product lines. In: de Carvalho, F.H., Barbosa, L.S. (eds.) SBLP 2012. LNCS, vol. 7554, pp. 134–149. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  37. Gaia, F.N., Ferreira, G.C.S., Figueiredo, E., de Almeida Maia, M.: A quantitative and qualitative assessment of aspectual feature modules for evolving software product lines. Sci. Comput. Program 96, 230–253 (2014)

    Article  Google Scholar 

  38. Ganesan, D., Lindvall, M., Ackermann, C., McComas, D., Bartholomew, M.: Verifying architectural design rules of the flight software product line. In: Proceedings of the 13th International Conference on Software Product Lines (2009)

    Google Scholar 

  39. Garg, A., Critchlow, M., Chen, P., van der Westhuizen, C., vander Hoek, A.: An environment for managing evolving product line architectures. In: 19th International Conference on Software Maintenance, The Architecture of Existing Systems (2003)

    Google Scholar 

  40. Ghanam, Y., Andreychuk, D., Maurer, F.: Reactive variability management in agile software development. In: Agile Conference (2010)

    Google Scholar 

  41. Ghanam, Y., Maurer, F.: An iterative model for agile product line engineering. In: Proceedings of the 12th International Conference on Software Product Lines (2008)

    Google Scholar 

  42. Hanssen, G.K., Fægri, T.E.: Process fusion: an industrial case study on agile software product line engineering. J. Syst. Softw. 81, 843–854 (2008)

    Article  Google Scholar 

  43. Hartmann, H., Trew, T.: Using feature diagrams with context variability to model multiple product lines for software supply chains. In: Proceedings of the 12th International Conference on Software Product Lines (2008)

    Google Scholar 

  44. Heider, W., Rabiser, R., Grünbacher, P., Lettner, D.: Using regression testing to analyze the impact of changes to variability models on products. In: 16th International Software Product Line Conference (2012)

    Google Scholar 

  45. Heider, W., Vierhauser, M., Lettner, D., Grünbacher, P.: A case study on the evolution of a component-based product line. In: Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture (2012)

    Google Scholar 

  46. Hendrickson, S.A., van der Hoek, A.: Modeling product line architectures through change sets and relationships. In: 29th International Conference on Software Engineering (2007)

    Google Scholar 

  47. Holdschick, H.: Challenges in the evolution of model-based software product lines in the automotive domain. In: 4th International Workshop on Feature-Oriented Software Development (2012)

    Google Scholar 

  48. Jaring, M., Dannenberg, R.B.: Representing variability in software product lines: a case study. In: Chastek, G.J. (ed.) SPLC 2002. LNCS, vol. 2379, p. 15. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  49. Jaring, M., Krikhaar, R.L., Bosch, J.: Representing variability in a family of MRI scanners. Softw. Pract. Exper 34, 69–100 (2004)

    Article  Google Scholar 

  50. Käßmeyer, M., Schulze, M., Schurius, M.: A process to support a systematic change impact analysis of variability and safety in automotive functions. In: Proceedings of the 19th International Conference on Software Product Line (2015)

    Google Scholar 

  51. Khtira, A., Benlarabi, A., Asri, B.E.: Duplication detection when evolving feature models of software product lines. Information 6, 592–612 (2015)

    Article  Google Scholar 

  52. Kircher, M., Schwanninger, C., Groher, I.: Transitioning to a software product family approach - challenges and best practices. In: Proceedings of the 10th International Conference on Software Product Lines (2006)

    Google Scholar 

  53. Krishnan, S., Lutz, R.R., Goseva-Popstojanova, K.: Empirical evaluation of reliability improvement in an evolving software product line. In: Proceedings of the 8th International Working Conference on Mining Software Repositories (2011)

    Google Scholar 

  54. Lee, K., Kang, K.C., Kim, M., Park, S.: Combining feature-oriented analysis and aspect-oriented programming for product line asset development. In: Proceedings of the 10th International Conference on Software Product Lines (2006)

    Google Scholar 

  55. Lettner, D., Angerer, F., Grünbacher, P., Prähofer, H.: Software evolution in an industrial automation ecosystem: an exploratory study. In: 40th EUROMICRO Conference on Software Engineering and Advanced Applications (2014)

    Google Scholar 

  56. Lettner, D., Angerer, F., Prähofer, H., Grünbacher, P.: A case study on software ecosystem characteristics in industrial automation software. In: International Conference on Software and Systems Process (2014)

    Google Scholar 

  57. Livengood, S.: Issues in software product line evolution: complex changes in variability models. In: Proceedings of the 2nd International Workshop on Product Line Approaches in Software Engineering (2011)

    Google Scholar 

  58. McGregor, J.D., Monteith, J.Y., Zhang, J.: Quantifying value in software product line design. In: Workshop Proceedings of the International Conference on Software Product Lines (2011)

    Google Scholar 

  59. Michalik, B., Weyns, D.: Towards a solution for change impact analysis of software product line products. In: 9th Working Conference on Software Architecture (2011)

    Google Scholar 

  60. Michalik, B., Weyns, D., Betsbrugge, W.V.: On the problems with evolving egemin’s software product line. In: Proceedings of the 2nd International Workshop on Product Line Approaches in Software Engineering (2011)

    Google Scholar 

  61. Millo, J., Ramesh, S., Krishna, S.N., Narwane, G.K.: Compositional verification of evolving software product lines. CoRR (2012)

    Google Scholar 

  62. Mohan, K., Ramesh, B.: Managing variability with traceability in product and service families. In: Proceedings of the 35th Hawaii International Conference on System Sciences (2002)

    Google Scholar 

  63. Mohan, K., Ramesh, B., Sugumaran, V.: Integrating software product line engineering and agile development. IEEE Softw. 27, 48–55 (2010)

    Article  Google Scholar 

  64. Moon, M., Chae, H.S., Nam, T., Yeom, K.: A metamodeling approach to tracing variability between requirements and architecture in software product lines. In: 7th International Conference on Computer and Information Technology (2007)

    Google Scholar 

  65. Murashkin, A., Antkiewicz, M., Rayside, D., Czarnecki, K.: Visualization and exploration of optimal variants in product line engineering. In: 17th International Software Product Line Conference (2013)

    Google Scholar 

  66. Neves, L., Teixeira, L., Sena, D., Alves, V., Kulesza, U., Borba, P.: Investigating the safe evolution of software product lines. In: Proceedings of the 10th International Conference on Generative Programming and Component Engineering (2011)

    Google Scholar 

  67. de Oliveira, T.H.B., Becker, M., Nakagawa, E.Y.: Supporting the analysis of bug prevalence in software product lines with product genealogy. In: 16th International Software Product Line Conference (2012)

    Google Scholar 

  68. Paskevicius, P., Damasevicius, R., Štuikys, V.: Change impact analysis of feature models. In: Skersys, T., Butleris, R., Butkiene, R. (eds.) ICIST 2012. CCIS, vol. 319, pp. 108–122. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  69. Passos, L.T., Czarnecki, K., Apel, S., Wasowski, A., Kästner, C., Guo, J.: Feature-oriented software evolution. In: The 7th International Workshop on Variability Modelling of Software-intensive Systems (2013)

    Google Scholar 

  70. Pohl, K., Brandenburg, M., Gülich, A.: Integrating requirement and architecture information: a scenario and meta-model approach. In: Proceedings of the 7th International Workshop on Requirements Engineering (2001)

    Google Scholar 

  71. Quinton, C., Rabiser, R., Vierhauser, M., Grünbacher, P., Baresi, L.: Evolution in dynamic software product lines: challenges and perspectives. In: Proceedings of the 19th International Conference on Software Product Line (2015)

    Google Scholar 

  72. Riebisch, M., Philippow, I.: Evolution of product lines using traceability. In: Workshop on Engineering Complex Object-Oriented Systems for Evolution (2001)

    Google Scholar 

  73. Sabouri, H., Khosravi, R.: Efficient verification of evolving software product lines. Revised Selected Papers of the 4th IPM International Conference on Fundamentals of Software Engineering (2011)

    Google Scholar 

  74. Scheidemann, K.D.: Optimizing the selection of representative configurations in verification of evolving product lines of distributed embedded systems. In: Proceedings of the 10th International Conference on Software Product Lines (2006)

    Google Scholar 

  75. Schmid, K., Verlage, M.: The economic impact of product line adoption and evolution. IEEE Softw. 19, 50–57 (2002)

    Article  Google Scholar 

  76. Schröter, R., Siegmund, N., Thüm, T.: Towards modular analysis of multi product lines. In: 17th International Software Product Line Conference co-located workshops (2013)

    Google Scholar 

  77. Sinnema, M., Deelstra, S.: Industrial validation of COVAMOF. J. Syst. Softw. 81, 584–600 (2008)

    Article  Google Scholar 

  78. Svahnberg, M., Bosch, J.: Characterizing evolution in product line architectures. In: Proceedings of the International Conference on Software Engineering and Applications (1999)

    Google Scholar 

  79. Svahnberg, M., van Gurp, J., Bosch, J.: A taxonomy of variability realization techniques. Softw. Pract. Exper. 35, 705–754 (2005)

    Article  Google Scholar 

  80. Taborda, L.J.M.: Planning and managing product line evolution. Revised Papers of the 5th International Workshop on Software Product-Family Engineering (2003)

    Google Scholar 

  81. Teixeira, L., Borba, P., Gheyi, R.: Safe evolution of product populations and multi product lines. In: Proceedings of the 19th International Conference on Software Product Line (2015)

    Google Scholar 

  82. Tesanovic, A.: Evolving embedded product lines: opportunities for aspects. In: Proceedings of the 6th workshop on Aspects, Components, and Patterns for Infrastructure Software (2007)

    Google Scholar 

  83. Thao, C., Munson, E.V.: Flexible support for managing evolving software product lines. In: Proceedings of the 2nd International Workshop on Product Line Approaches in Software Engineering (2011)

    Google Scholar 

  84. Thüm, T., Batory, D.S., Kästner, C.: Reasoning about edits to feature models. In: 31st International Conference on Software Engineering (2009)

    Google Scholar 

  85. Vianna, A., Pinto, F., Sena, D., Kulesza, U., Coelho, R., Santos, J., Lima, J., Lima, G.: Squid: an extensible infrastructure for analyzing software product line implementations. In: 16th International Software Product Line Conference (2012)

    Google Scholar 

  86. Wall, A., Larsson, M., Norström, C.: Towards an impact analysis for component based real-time product line architectures. In: 28th EUROMICRO Conference (2002)

    Google Scholar 

  87. Weyns, D., Michalik, B., Helleboogh, A., Boucké, N.: An architectural approach to support online updates of software product lines. In: 9th Working IEEE/IFIP Conference on Software Architecture (2011)

    Google Scholar 

  88. White, J., Galindo, J.A., Saxena, T., Dougherty, B., Benavides, D., Schmidt, D.C.: Evolving feature model configurations in software product lines. J. Syst. Softw. 87, 119–136 (2014)

    Article  Google Scholar 

  89. Yazdanshenas, A.R., Moonen, L.: Fine-grained change impact analysis for component-based product families. In: International Conference on Software Maintenance (2012)

    Google Scholar 

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Authors and Affiliations

  1. Software Engineering Group, Heinz Nixdorf Institute, Paderborn University, Paderborn, Germany

    Christopher Brink

  2. University of Applied Sciences and Arts Dortmund, Dortmund, Germany

    Philipp Heisig & Fabian Wackermann

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  1. Christopher Brink
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  1. Kaunas University of Technology , Kaunas, Lithuania

    Giedre Dregvaite

  2. Kaunas University of Technology , Kaunas, Lithuania

    Robertas Damasevicius

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Brink, C., Heisig, P., Wackermann, F. (2016). Change Impact in Product Lines: A Systematic Mapping Study. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2016. Communications in Computer and Information Science, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-46254-7_55

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