Agile software development follows an adaptive and iterative approach. However, the
management of data (eg, development data or product data) can pose significant challenges …

Refactoring tools have advanced greatly and are being used in many large projects. As a
result, a great deal of information is now available about past refactoring and its effects on …

Context: Agile software development has become commonplace in software development
companies due to the numerous benefits it provides. However, conducting Agile projects is …

Quality requirements (QRs) are a key artifact needed to ensure the quality and success of a
software system. Despite their importance, QRs rarely get the same degree of attention as …

INTRODUCTION: The emerging industrialization of software promotes the continuous
development of new evaluation models that adapt to the product's characteristics and the …

Software testing is key for quality assurance of embedded systems. However, with increased
development pace, the amount of test results data risks growing to a level where exploration …

Software and data analytics solutions support improving development processes and the
quality of the software produced in Agile Software Development (ASD). However, decision …

Most traditional software reliability growth models (SRGMs) assume immediate fault
correction upon detection and therefore only consider fault detection process (FDP). In order …

Implicit feedback involves gathering information about software usage to grasp how and
when the software is utilized. This study investigates the integration of implicit feedback …

When following the principles of value‐based software engineering, business, customer
satisfaction, and engineering considerations need to be balanced to develop and operate …