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Tacit Knowledge in Software Evolution


This chapter describes two perspectives on the identification and externalisation of tacit knowledge, that is expertise that is difficult to verbalise, within long-living and continuously evolving systems. During the design time of a software system, heuristics and machine learning classifiers can be used to identify and externalise tacit knowledge. For instance, externalised tacit security knowledge supports requirement engineers to understand security-related requirements. During the run time of a software system, tacit knowledge about a system’s usability can be captured through monitoring user interactions. The identification and extraction of tacit usage knowledge can improve usability-related aspects and even trigger new functional requirement requests.


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Correspondence to Jan Ole Johanssen .

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Johanssen, J.O., Viertel, F.P., Bruegge, B., Schneider, K. (2019). Tacit Knowledge in Software Evolution. In: Reussner, R., Goedicke, M., Hasselbring, W., Vogel-Heuser, B., Keim, J., Märtin, L. (eds) Managed Software Evolution. Springer, Cham.

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