Challenges and guidelines on designing test cases for test bots
Paper in proceeding, 2020

Test bots are automated testing tools that autonomously and periodically run a set of test cases that check whether the system under test meets the requirements set forth by the customer. The automation decreases the amount of time a development team spends on testing. As development projects become larger, it is important to focus on improving the test bots by designing more effective test cases because otherwise time and usage costs can increase greatly and misleading conclusions from test results might be drawn, such as false positives in the test execution. However, literature currently lacks insights on how test case design affects the effectiveness of test bots. This paper uses a case study approach to investigate those effects by identifying challenges in designing tests for test bots. Our results include guidelines for test design schema for such bots that support practitioners in overcoming the challenges mentioned by participants during our study.


case study

test bots


Linda Erlenhov

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), Software Engineering for Cyber Physical Systems

Francisco Gomes

University of Gothenburg

Martin Chukaleski

Student at Chalmers

Samer Daknache

Student at Chalmers

Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020

9781450379632 (ISBN)

42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020
Seoul, South Korea,

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Reliability and Maintenance

Software Engineering



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