Efficient Automated Decomposition of Build Targets at Large-Scale

Jendele, Lukáš; Schwenk, Markus; Cremarenco, Diana; Janicijevic, Ivan; Rybalkin, Mikhail

doi:10.1109/icst.2019.00055

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Cited by 6 publications

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Does using Bazel help speed up continuous integration builds?

Zheng,

Adams,

Hassan

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Does using Bazel help speed up continuous integration builds?

Zheng,

Adams,

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Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster

et al. 2023

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Research in software testing often involves the development of software prototypes. Like any piece of software, there are challenges in the development, use and verification of such tools. However, some challenges are rather specific to this problem domain. For example, often these tools are developed by PhD students straight out of bachelor/master degrees, possibly lacking any industrial experience in software development. Prototype tools are used to carry out empirical studies, possibly studying different parameters of novel designed algorithms. Software scaffolding is needed to run large sets of experiments efficiently. Furthermore, when using AI-based techniques like evolutionary algorithms, care needs to be taken to deal with their randomness, which further complicates their verification. The aforementioned represent some of the challenges we have identified for this domain. In this paper, we report on our experience in building the open-source EvoMaster tool, which aims at system-level test case generation for enterprise applications. Many of the challenges we faced would be common to any researcher needing to build software testing tool prototypes. Therefore, one goal is that our shared experience here will boost the research community, by providing concrete solutions to many development challenges in the building of such kind of research prototypes. Ultimately, this will lead to increase the impact of scientific research on industrial practice.

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