Machine learning (ML) techniques increase the effectiveness of software engineering (SE)
lifecycle activities. We systematically collected, quality-assessed, summarized, and …

Context: Modern software development increasingly relies on software testing for an ever
more frequent delivery of high quality software. This puts high demands on the quality of the …

Rationale The development of the complex thinking meta-competency in the education of
university students potentially promotes high capacities, where artificial intelligence (AI) …

A smart contract is a pivotal notion in blockchain technology. Distributed applications contain
smart contracts verifying the fulfillment of the conditions, which determine the execution of …

Regression testing remains a promising research area for the last few decades. It is a type of
testing that aims at ensuring that recent modifications have not adversely affected the …

This work proposed a new method to optimize the antenna S-parameter using a Golden
Sine mechanism-based Honey Badger Algorithm that employs Tent chaos (GST-HBA). The …

In this work, we propose a new test case generation approach that can cover behavioural
scenarios individually in a multi-agent system. The purpose is to identify, in the case of the …

Modified source code validation is done by regression testing. In regression testing, the time
and resources are limited, in which we have to select the minimal test cases from test suites …

Ensuring quality and reliability mandates thorough software testing at every stage of the
development cycle. As software systems grow in size, complexity, and functionality, the …

In the process of software development, regression testing is one of the major activities that
is done after making modifications in the current system or whenever a software system …