Process mining techniques and applications–A systematic map** study

C dos Santos Garcia, A Meincheim, ERF Junior… - Expert Systems with …, 2019 - Elsevier
Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

Engineering ai systems: A research agenda

J Bosch, HH Olsson, I Crnkovic - Artificial intelligence paradigms for …, 2021 - igi-global.com
Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …

Modeling continuous integration practice differences in industry software development

D Ståhl, J Bosch - Journal of Systems and Software, 2014 - Elsevier
Continuous integration is a software practice where developers integrate frequently, at least
daily. While this is an ostensibly simple concept, it does leave ample room for interpretation …

Chapter 8 Recognizing Lines of Code Violating Company-Specific Coding Guidelines Using Machine Learning

M Ochodek, R Hebig, W Meding, G Frost… - … Digital Transformation: 10 …, 2022 - Springer
Software developers in big and medium-size companies are working with millions of lines of
code in their codebases. Assuring the quality of this code has shifted from simple defect …

The continuity of continuous integration: Correlations and consequences

D Ståhl, T Mårtensson, J Bosch - Journal of Systems and Software, 2017 - Elsevier
The practice of continuous integration has firmly established itself in the mainstream of the
software engineering industry, yet many questions surrounding it remain unanswered …

Systematic map** study on process mining in agile software development

S Erdem, O Demirörs, F Rabhi - … 2018, Thessaloniki, Greece, October 9–10 …, 2018 - Springer
Process mining is a process management technique that allows for the analysis of business
processes based on the event logs and its aim is to discover, monitor and improve executed …

Improving quality assurance in automation systems development projects

D Winkler, S Biffl - Quality Assurance and Management, 2012 - books.google.com
Development processes of large-scale automation systems, eg, power plants and
manufacturing systems involve engineers from various disciplines, eg, mechanical …

Experimentation for business-to-business mission-critical systems: A case study

DI Mattos, A Dakkak, J Bosch, HH Olsson - Proceedings of the …, 2020 - dl.acm.org
Continuous experimentation (CE) refers to a group of practices used by software companies
to rapidly assess the usage, value and performance of deployed software using data …

Introduction to the ai engineering theme

J Bosch - Accelerating Digital Transformation: 10 Years of …, 2022 - Springer
The term artificial intelligence (AI) triggers many things in terms of its inherent meaning and
potential. The notion of a machine with the same level of intellect as a human or even far …

Chapter 9 SimSAX: A Measure of Project Similarity Based on Symbolic Approximation Method and Software Defect Inflow

M Ochodek, M Staron, W Meding - Accelerating Digital Transformation: 10 …, 2022 - Springer
Background: Profiling software development projects, in order to compare them, find similar
sub-projects or sets of activities, helps to monitor changes in software processes. Since we …