Machine learning applied to software testing: A systematic map** study
Software testing involves probing into the behavior of software systems to uncover faults.
Most testing activities are complex and costly, so a practical strategy that has been adopted …
Most testing activities are complex and costly, so a practical strategy that has been adopted …
A literature review of using machine learning in software development life cycle stages
The software engineering community is rapidly adopting machine learning for transitioning
modern-day software towards highly intelligent and self-learning systems. However, the …
modern-day software towards highly intelligent and self-learning systems. However, the …
An empirical study of functional bugs in android apps
Y **
GUI-based testing has been primarily used to examine the functionality and usability of
mobile apps. Despite the numerous GUI-based test input generation techniques proposed in …
mobile apps. Despite the numerous GUI-based test input generation techniques proposed in …
Detecting non-crashing functional bugs in Android apps via deep-state differential analysis
Non-crashing functional bugs of Android apps can seriously affect user experience. Often
buried in rare program paths, such bugs are difficult to detect but lead to severe …
buried in rare program paths, such bugs are difficult to detect but lead to severe …
Software testing effort estimation and related problems: A systematic literature review
I Bluemke, A Malanowska - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Although testing effort estimation is a very important task in software project management, it
is rarely described in the literature. There are many difficulties in finding any useful methods …
is rarely described in the literature. There are many difficulties in finding any useful methods …