| 0001 |
Does code quality affect pull request acceptance? An empirical study |
Journal of Systems and Software |
2021 |
CCF-B |
Pull requests; PMD rules; Machine learning |
| 0002 |
A Study on the Interplay between Pull Request Review and Continuous Integration Builds |
International Conference on Software Analysis, Evolution, and Reengineering |
2019 |
CCF-B |
Continuous Integration;Pull Requests;Modern;Code Reviews |
| 0003 |
Effects of Adopting Code Review Bots on PullRequests to OSS Projects |
International Conference on Software Maintenance and Evolution |
2020 |
CCF-B |
Software Bots, GitHub Bots, Code Review, Open Source Software,Software Engineering |
| 0004 |
Reducing accidental clones using instant clone search in automatic code review |
International Conference on Software Maintenance and Evolution |
2020 |
CCF-B |
Code review |
| 0005 |
Towards Automating Code Review Activities |
International Conference on Software Engineering |
2021 |
CCF-A |
Code Review, Empirical Software Engineering,Deep Learning |
| 0006 |
Understanding Code Smell Detection via Code Review: A Study of the OpenStack Community |
International Conference on Program Comprehension |
2021 |
CCF-B |
Code Review, Code Smell, Mining Software,Repositories, Empirical Study |
| 0007 |
What are the factors affecting the handover process in open source development? |
Journal of Systems and Software |
2019 |
CCF-B |
Software process,Repository mining,Handover,Open source software development |
| 0008 |
Test case generation, selection and coverage from natural language |
Science of Computer Programming |
2019 |
CCF-B |
Test generation,Natural language,Use case models |
| 0009 |
Test-Case Reduction via Test-Case Generation:Insights from the Hypothesis Reducer |
European Conference on Object-Oriented Programming |
2020 |
CCF-B |
Software testing, test-case reduction |
| 0010 |
Testing with Fewer Resources: An AdaptiveApproach to Performance-Aware |
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING |
2021 |
CCF-A |
Evolutionary testing, many-objective optimization, performance |
| 0011 |
Adaptive and Efficient Resource Allocation in Cloud Datacenters Using Actor-Critic Deep Reinforcement Learning |
IEEE Transactions on Parallel and Distributed Systems |
2021 |
CCF-A |
Cloud computing, datacenters, resource allocation, energy-effificiency, deep reinforcement learning |
| 0012 |
Identifying Customer Needs from User-Generated Content |
MARKETING SCIENCE |
2019 |
-- |
customer needs online reviews machine learning voice of the customer user-generated content market research text mining deep learning natural language processing |
| 0013 |
Adaptive Resource Effificient Microservice |
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS |
2022 |
CCF-A |
Cloud-edge continuum, QoS, microservice resources management |
| 0014 |
Deep Feature-Based Text Clustering and its Explanation |
IEEE Transactions on Knowledge and Data Engineering |
2020 |
CCF-A |
Task analysis, Computational modeling, Feature extraction, Clustering algorithms, Semantics, Data models, Recurrent neural networks |
| 0015 |
Classifying User Requirements from Online Feedback in Small Dataset Environments using Deep Learning |
IEEE International Requirements Engineering Conference (RE) |
2021 |
CCF-B |
Crowd-based requirements engineering, deep learning, feedback analysis, machine learning, user feedback, user reviews |