86 results on '"Penta, Massimiliano Di"'
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2. On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation
3. Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study
4. An Empirical Study on the Fault-Inducing Effect of Functional Constructs in Python
5. License usage and changes: a large-scale study on gitHub
6. Automated Identification and Qualitative Characterization of Safety Concerns Reported in UAV Software Platforms
7. Video Game Bad Smells: What they are and how Developers Perceive Them
8. Web Services Regression Testing
9. Guest editorial: special section on software maintenance and evolution
10. The Impact of Dormant Defects on Defect Prediction: A Study of 19 Apache Projects
11. Towards Understanding Developers’ Machine-Learning Challenges: A Multi-Language Study on Stack Overflow
12. Exploiting Natural Language Structures in Software Informal Documentation
13. The life and death of statically detected vulnerabilities: An empirical study
14. An exploratory study of the impact of antipatterns on class change- and fault-proneness
15. Why Do Developers Reject Refactorings in Open-Source Projects?
16. Assessing Staffing needs for a software maintenance project through queuing simulation
17. Why Developers Refactor Source Code
18. How Is Video Game Development Different from Software Development in Open Source?
19. An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation
20. Automatic Identification and Classification of Software Development Video Tutorial Fragments
21. A Study on the Interplay between Pull Request Review and Continuous Integration Builds
22. Listening to the Crowd for the Release Planning of Mobile Apps
23. Multi-Objective Optimization of Energy Consumption of GUIs in Android Apps
24. Crowdsourcing user reviews to support the evolution of mobile apps
25. When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)
26. On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation
27. ARENA: An Approach for the Automated Generation of Release Notes
28. License usage and changes: a large-scale study on gitHub
29. Mining Version Histories for Detecting Code Smells
30. The Impact of API Change- and Fault-Proneness on the User Ratings of Android Apps
31. Improving Multi-Objective Test Case Selection by Injecting Diversity in Genetic Algorithms
32. Defect prediction as a multiobjective optimization problem
33. Mining Android Apps to Recommend Permissions.
34. Parameterizing and Assembling IR-Based Solutions for SE Tasks Using Genetic Algorithms.
35. Web Services Regression Testing
36. How Developers' Collaborations Identified from Different Sources Tell Us about Code Changes
37. On the Impact of Refactoring Operations on Code Quality Metrics
38. Prompter: A Self-Confident Recommender System
39. REPENT: Analyzing the Nature of Identifier Renamings
40. Message from the PROMISE 2013 Chairs
41. Development Emails Content Analyzer: Intention Mining in Developer Discussions (T).
42. An Empirical Investigation on Documentation Usage Patterns in Maintenance Tasks
43. LHDiff: A Language-Independent Hybrid Approach for Tracking Source Code Lines
44. LHDiff: Tracking Source Code Lines to Support Software Maintenance Activities
45. The Evolution of Project Inter-dependencies in a Software Ecosystem: The Case of Apache
46. Do They Really Smell Bad? A Study on Developers' Perception of Bad Code Smells.
47. An exploratory study of the impact of antipatterns on class change- and fault-proneness
48. Improving IR-based Traceability Recovery Using Smoothing Filters
49. The Evolution and Decay of Statically Detected Source Code Vulnerabilities
50. Relating the Evolution of Design Patterns and Crosscutting Concerns
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