Software Quality: Quality Intelligence in Software and Systems Engineering: 12th International Conference, SWQD 2020, Vienna, Austria, January 14–17, ... in Business Information Processing, 371)

Message from the General Chair
Message from the Scientific Program Chairs
Organization
Contents
Industry Challenges and Collaborations
Together We Are Stronger: Evidence-Based Reflections on Industry-Academia Collaboration in Software Testing
	1 Introduction
	2 Software Test Activities
	3 Evidence on Industry-Academia Collaboration in Software Testing as Well as in Its Conferences and Literature
		3.1 Study 1: Perceived Level of Challenges in Testing Activities
		3.2 Study 2: Focus Areas in Industrial and Academic Software Testing Conferences
		3.3 Study 3: Synergies Between Industrial and Academic Software Testing Conferences
		3.4 Study 4: Need for Consideration of Grey Literature
	4 Reflections on Industry-Academia Collaboration in Software Testing
	5 Conclusion
	References
Challenges in Testing Big Data Systems
	1 Introduction
	2 Objective
	3 Methodological Approach and Survey Design
	4 Participants
	5 Analysis Method
	6 Results
		6.1 Resources and Performance
		6.2 Verifying Test Results
		6.3 Finding an Optimal Test Coverage
		6.4 Availability of Test Data
	7 Threats to Validity
	8 Related Work
	9 Future Work
	10 Conclusion
	References
Software Testing Approaches
Selecting and Prioritizing Regression Test Suites by Production Usage Risk in Time-Constrained Environments
	1 Introduction
	2 Related Work
	3 Production Usage Risk and Coverage
		3.1 Regression Risk
		3.2 Regression Risk Coverage
		3.3 Partitioning a System into Functionalities
		3.4 Use Cases for Regression Test Risk Coverage
	4 Example
	5 Case Study: Application in an Industrial Project
		5.1 Case Study Design
		5.2 Results
	6 Conclusions and Outlook
		6.1 Conclusions
		6.2 Possible Future Work
	References
An Evaluation of Test Suite Minimization Techniques
	1 Introduction
	2 Fundamentals
		2.1 Test Suite Minimization
		2.2 Mutation Testing
	3 Related Work
	4 Implementation
		4.1 The Greedy Algorithm
		4.2 The HGS Algorithm
		4.3 Mutation Testing
	5 Empirical Assessment
		5.1 Research Questions
		5.2 Study Subjects
		5.3 Study Design
	6 Results and Discussion
	7 Threats to Validity
	8 Conclusion
	9 Future Work
	References
Social Aspects in Software Engineering
Soft Competencies and Satisfaction Levels for Software Engineers: A Unified Framework
	1 Introduction
	2 Theoretical Foundation and Related Works
		2.1 Soft Competency
		2.2 Kano Model
		2.3 Competency Framework for Software Engineers
	3 A Unified Framework of Soft Competency Satisfaction Levels for Software Engineers (UFSCSL)
	4 Methodology
		4.1 Data Collection
		4.2 Data Analysis
	5 Results
		5.1 RQ1: What Are the Different Satisfaction Levels Derived from Using a Software Soft Competency?
		5.2 RQ2: Which of These Soft Competencies Are Perceived as Most Valuable for Software Engineering?
	6 Discussions
	7 Conclusion
	References
Natural Language Processing
Semantic Similarities in Natural Language Requirements
	1 Introduction
		1.1 Contribution of This Work
		1.2 Structure of This Work
	2 Related Work
		2.1 Semantic Similarity Estimation of General Texts
		2.2 Semantic Similarity Estimation for Requirements
		2.3 Research Gap
	3 Background
		3.1 Semantic Similarity
		3.2 Applied Algorithms
	4 Study Design
		4.1 Goal Definition
		4.2 Research Questions
		4.3 Metrics
		4.4 Experiment Design and Execution
		4.5 Study Subjects
		4.6 Study Objects
	5 Results
		5.1 Presentation of Results
		5.2 Answers to Research Questions
	6 Interpretation
		6.1 RQ1: How Do Semantic Similarity Algorithms Trained on Non-requirements Data Perform in Comparison to Algorithms Trained on Requirements Data?
		6.2 RQ2: Which Algorithm Performs Most Accurately for Predicting the Semantic Similarities of Natural Language Requirements?
		6.3 Threats to Validity
	7 Summary
	References
Software Quality Assurance Concepts
On Identifying Similarities in Git Commit Trends—A Comparison Between Clustering and SimSAX
	1 Introduction
	2 Background
		2.1 Similarity Between Git Commit Trends
		2.2 Time-Series Clustering
		2.3 Similarity-based on Symbolic Aggregate approXimation
	3 Related Work
	4 Research Design
	5 Results and Discussion
		5.1 Week Coverage
		5.2 Comparing Windows Coverage
		5.3 Validity Analysis
	6 Conclusions
	References
Code Reviews, Software Inspections, and Code Walkthroughs: Systematic Mapping Study of Research Topics
	1 Introduction
	2 Data Collection
		2.1 Search for Primary Studies
		2.2 Screening of Papers for Inclusion and Exclusion
		2.3 Selecting Empirical Studies in the Software Engineering Field
	3 Qualitative Content Analysis of Research Questions
	4 Discussion
	5 Limitations and Threats to Validity
	6 Conclusions
	References
Optimising Analytical Software Quality Assurance
	1 Optimisation of Quality Assurance
	2 Quality Economics
	3 Effectiveness and Efficiency of Quality Assurance Techniques
	4 Psychological Aspects
	5 Test Optimisation
	6 Conclusions
	References
Author Index