Performance of the Pareto Envelope-Based Search Algorithm - II in Automated Test Case Generation

Software testing is an important yet time consuming task in the software development life cycle. Artificial Intelligence (AI) algorithms have been used to automate this task and have proven to be proficient at it. This research focuses on the automated testing of JavaScript programs, and builds upon the existing SynTest framework that is the...

Dissecting the secrets of software testing education in universities

Software testing plays a crucial role in delivering reliable software. Currently, research is ongoing on how software developers and testers acquire this knowledge of software testing to deliver reliable software and what kind of knowledge is being transferred to developers and testers. In an effort to gain more insight into this area, we will...

Topic Analysis on Popular Software Testing Books: Mining Software Testing Knowledge

In this study, we try to understand what kind of topics and frameworks are covered by the popular software testing books, and see whether these topics satisfy the industry needs and address the rising trends. To define "popular" software testing books, we formulated three heuristics. The topics of the books are analyzed through LDA topic...

Mining massive open online courses (MOOCs) for software testing knowledge

Software testing is a necessary aspect of software development. With high expectations placed on software testers and a shortage of qualified professionals, Massive Open Online Courses (MOOCs) have emerged as a potential solution to improve software testing education. MOOCs provide accessible education and can offer a comprehensive review of...

Training a Machine-Learning Model for Optimal Fitness Function Selection with the Aim of Finding Bugs

To ensure that a software system operates in the correct way, it is crucial to test it extensively. Manual software testing is severely time-consuming, and developers often underestimate its importance. Consequently, many tools for automatic test generation have been developed during the past decade. EvoSuite is a state-of-the-art tool for...

Enabling domain experts to participate in the process of improving software quality using change impact analysis

Software engineers often lack the domain knowledge needed to validate context specific parts of software. Domain experts do have this knowledge needed to validate the software, but often lack the expertise and tools to apply this knowledge in a way that tests the software product. Based on a case study at business-software company Exact, this...

Guiding Big Data Fuzz Testing with Boosted Coverage-Based Input Selection

Big data applications are becoming increasingly popular. The importance of testing these applications increases with it. A recently proposed work called BigFuzz applies automated testing. The big data fuzzing tool shows very promising results. The aim of this research is to inspect how coverage guidance affects the performance of big data...

The impact of type systems and test tooling on codified testing strategies: an exploratory multi-method approach

Software testing has been around for decades and many tools exist to aid developers in their testing process. However, little is known about the rate at which developers test their projects, the tools they use for these purposes and the impact of type systems on testing practices. Our work is the first of its kind to identify and classify...

Constructing a Test Code Quality Model and Empirically Assessing its Relation to Issue Handling Performance

Automated testing is a basic principle of agile development. Its benefits include early defect detection, defect cause localization and removal of fear to apply changes in the code. Therefore, maintaining high quality test code is essential. This study introduces a model that assesses test code quality by combining source code metrics that...