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• W2073685962 abstract "Monitoring-Oriented Programming (MOP) helps develop more reliable software by means of monitoring against formal specifications. While MOP showed promising results, all prior research has focused on checking a single version of software. We propose to extend MOP to support multiple software versions and thus be more relevant in the context of rapid software evolution. Our approach, called eMOP, is inspired by regression test selection -- a well studied, evolution-centered technique. The key idea in eMOP is to monitor only the parts of code that changed between versions. We illustrate eMOP by means of a running example, and show the results of preliminary experiments. eMOP opens up a new line of research on MOP -- it can significantly improve usability and performance when applied across multiple versions of software and is complementary to algorithmic MOP advances on a single version." @default.
• W2073685962 created "2016-06-24" @default.
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• W2073685962 date "2015-05-16" @default.
• W2073685962 modified "2023-10-16" @default.
• W2073685962 title "Evolution-aware monitoring-oriented programming" @default.
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• W2073685962 doi "https://doi.org/10.5555/2819009.2819118" @default.
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