91 results on '"Hebig, Regina"'
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2. Improving Software Regression Testing Using a Machine Learning-Based Method for Test Type Selection
3. A reflection on the impact of model mining from GitHub
4. Automated Extraction of Grammar Optimization Rule Configurations for Metamodel-Grammar Co-evolution
5. Manual Abstraction in the Wild: A Multiple-Case Study on OSS Systems’ Class Diagrams and Implementations
6. The Migration Journey Towards Microservices
7. Contributors
8. The Effect of Class Noise on Continuous Test Case Selection: A Controlled Experiment on Industrial Data
9. Challenges and directions for a community infrastructure for Big Data-driven research in software architecture
10. An empirical study of the systemic and technical migration towards microservices
11. Chapter 8 Recognizing Lines of Code Violating Company-Specific Coding Guidelines Using Machine Learning
12. An Empirical Investigation on the Competences and Roles of Practitioners in Microservices-Based Architectures
13. Supporting Meta-Model-Based Language Evolution and Rapid Prototyping with Automated Grammar Optimization
14. Creating Python-Style Domain Specific Languages: A Semi-Automated Approach and Intermediate Results
15. Diversity in UML Modeling Explained: Observations, Classifications and Theorizations
16. Predicting build outcomes in continuous integration using textual analysis of source code commits
17. The influence of software design representation on the design communication of teams with diverse personalities
18. What Makes Agile Software Development Agile?
19. Initial Results of the HELENA Survey Conducted in Estonia with Comparison to Results from Sweden and Worldwide
20. Hybrid Software and Systems Development in Practice: Perspectives from Sweden and Uganda
21. Blended modeling in commercial and open-source model-driven software engineering tools: A systematic study
22. Improving test case selection by handling class and attribute noise
23. Lessons Learned from Co-Evolution of Software Process and Model-Driven Engineering
24. Metamodel and Constraints Co-evolution: A Semi Automatic Maintenance of OCL Constraints
25. Facing the Giant
26. Detecting Complex Changes During Metamodel Evolution
27. On Lightweight Metamodel Extension to Support Modeling Tools Agility
28. A classification of code changes and test types dependencies for improving machine learning based test selection
29. Emerging Software Engineering Research Networks in (East) Africa
30. On the Complex Nature of MDE Evolution
31. Correction to: Software engineering whispers: The effect of textual vs. graphical software design descriptions on software design communication
32. Selective Regression Testing based on Big Data: Comparing Feature Extraction Techniques
33. A Dedicated Language for Context Composition and Execution of True Black-Box Model Transformations
34. Traceability in Model-Driven Engineering: Efficient and Scalable Traceability Maintenance
35. Hybrid and evolving processes for software and systems—ICSSP 2019 special issue
36. Software engineering whispers: The effect of textual vs. graphical software design descriptions on software design communication
37. What Developers (Care to) Recall: An Interview Survey on Smaller Systems
38. Improving Data Quality for Regression Test Selection by Reducing Annotation Noise
39. The Character of Software Startup Hubs in an Emerging Ecosystem
40. How do Students Experience and Judge Software Comprehension Techniques?
41. Sustainable Capacity Building in Software Engineering Research in Africa
42. Emerging and Changing Tasks in the Development Process for Machine Learning Systems
43. Why do Software Teams Deviate from Scrum?
44. Determining Context Factors for Hybrid Development Methods with Trained Models
45. Causes of merge conflicts
46. Perception and Acceptance of an Autonomous Refactoring Bot
47. Summary of the 2019 International Conference on Software and System Processes (ICSSP 2019)
48. Recognizing lines of code violating company-specific coding guidelines using machine learning
49. Requirements for Measurement Dashboards and Their Benefits: A Study of Start-ups in an Emerging Ecosystem
50. Where is my feature and what is it about? A case study on recovering feature facets
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