software engineering

Process Mining Model Quality in Software Development Case Studies: An Analysis

Process Mining Model Quality in Software Development Case Studies: An Analysis

Marianne Schmolke
With increasing digitalization speed, the need for knowledge about how Software Development can be improved, increases as well. Frequently encountered challenges are skill deficits, problematic behavior or activity sequences, and deviations from common and expected paths. Process Mining provides promising opportunities to remedy these issues. Process Mining applied to Software Development activities for example is an analytics method that can provide insights before a process has been executed as there is a huge amount of log files to be potentially analyzed. As promising case studies in this field have been conducted, there is a need to find quality measures to effectively learn from the results found. Therefore, a systematic analysis has been applied to the relevant sources using the relevant criteria of the Comprehensive Process Model Quality Framework (CPMQF).
Industry 4.0 Science | 2022 | | DOI 10.30844/AKWI_2022_09
Requirements for Competence Developing Games in the Environment of SE Competence Development

Requirements for Competence Developing Games in the Environment of SE Competence Development

Marcel Biewendt, Mathias Eggert, Martin R. Wolf, Philipp M. Zähl
Many of today’s factors make software development more and more complex, such as time pressure, new technologies, IT security risks, et cetera. Thus, a good preparation of current as well as future software developers in terms of a good software engineering education becomes progressively important. As current research shows, Competence Developing Games (CDGs) and Serious Games can offer a potential solution. This paper identifies the necessary requirements for CDGs to be conducive in principle, but espe- cially in software engineering (SE) education. For this purpose, the current state of research was summarized in the context of a literature review. Afterwards, some of the identified requirements as well as some additional requirements were evaluated by a survey in terms of subjective relevance.
Industry 4.0 Science | 2022 | | DOI 10.30844/AKWI_2022_05