Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …

We introduce Sapienz, an approach to Android testing that uses multi-objective search-
based testing to automatically explore and optimise test sequences, minimising length, while …

Software testing, as a major verification and validation activity which revolves around quality
tests, is a knowledge-intensive activity. Hence, it is reasonable to expect that it can be …

One of the main challenges that developers face when testing their systems lies in
engineering test cases that are good enough to reveal bugs. And while our body of …

Abstract User Acceptance Testing (UAT) involves validating software in a real setting by the
intended audience. The aim is not so much to check the defined requirements but to ensure …

Context: Applying vulnerability detection techniques is one of many tasks using the limited
resources of a software project. Objective: The goal of this research is to assist managers …

Context Software testing is a knowledge intensive process, and, thus, Knowledge
Management (KM) principles and techniques should be applied to manage software testing …

Context: Exploratory Testing has experienced a rise in popularity in the industry with the
emergence of agile development practices, yet it remains unclear, in which domains and …

Manual software testing is a widely practiced verification and validation method that is
unlikely to fade away despite the advances in test automation. In the domain of manual …

CONTEXT: Evidence-based software engineering (EBSE) provides a process for solving
practical problems based on a rigorous research approach. The primary focus so far was on …