| Look Ahead! Revealing Complete Composite Refactorings and their Smelliness Effects | 2 | 0.36 | 2021 |
| Evaluating Refactorings For Disciplining #Ifdef Annotations: An Eye Tracking Study With Novices | 0 | 0.34 | 2021 |
| Identifying method-level mutation subsumption relations using Z3 | 2 | 0.37 | 2021 |
| Decoding Confusing Code: Social Representations among Developers | 0 | 0.34 | 2021 |
| Atoms of Confusion - The Eyes Do Not Lie. | 0 | 0.34 | 2020 |
| Refactoring Test Smells - A Perspective from Open-Source Developers. | 0 | 0.34 | 2020 |
| Mutating code annotations: An empirical evaluation on Java and C# programs | 2 | 0.38 | 2020 |
| Revealing the Social Aspects of Design Decay - A Retrospective Study of Pull Requests. | 2 | 0.36 | 2020 |
| Refactoring from 9 to 5? What and When Employees and Volunteers Contribute to OSS | 0 | 0.34 | 2020 |
| On Relating Technical, Social Factors, and the Introduction of Bugs | 2 | 0.36 | 2020 |
| How Does Incomplete Composite Refactoring Affect Internal Quality Attributes? | 3 | 0.37 | 2020 |
| Is Exceptional Behavior Testing an Exception? - An Empirical Assessment Using Java Automated Tests. | 0 | 0.34 | 2020 |
| Understanding and Detecting Harmful Code. | 0 | 0.34 | 2020 |
| Applying Machine Learning to Customized Smell Detection - A Multi-Project Study. | 0 | 0.34 | 2020 |
| Search-based many-criteria identification of microservices from legacy systems | 0 | 0.34 | 2020 |
| On the Performance and Adoption of Search-Based Microservice Identification with toMicroservices | 2 | 0.39 | 2020 |
| A Quantitative Study on Characteristics and Effect of Batch Refactoring on Code Smells | 5 | 0.41 | 2019 |
| On gamifying an existing healthcare system: method, conceptual model and evaluation | 0 | 0.34 | 2019 |
| Investigating the social representations of code smell identification: a preliminary study | 0 | 0.34 | 2019 |
| Software Engineering Research Community Viewpoints on Rapid Reviews | 0 | 0.34 | 2019 |
| Do Research and Practice of Code Smell Identification Walk Together? A Social Representations Analysis | 0 | 0.34 | 2019 |
| Quantitative comparison of unsupervised anomaly detection algorithms for intrusion detection. | 2 | 0.40 | 2019 |
| Investigating the Social Representations of the Identification of Code Smells by Practitioners and Students from Brazil | 0 | 0.34 | 2019 |
| Discipline Matters: Refactoring of Preprocessor Directives in the #ifdef Hell. | 6 | 0.44 | 2018 |
| Influence of Technical and Social Factors for Introducing Bugs. | 0 | 0.34 | 2018 |
| Are you smelling it? Investigating how similar developers detect code smells. | 7 | 0.47 | 2018 |
| On Relating Technical, Social Factors, and the Introduction of Bugs. | 0 | 0.34 | 2018 |
| A Qualitative Analysis of Variability Weaknesses in Configurable Systems with #ifdefs. | 0 | 0.34 | 2018 |
| Identifying design problems in the source code: a grounded theory. | 2 | 0.36 | 2018 |
| The buggy side of code refactoring: understanding the relationship between refactorings and bugs. | 0 | 0.34 | 2018 |
| Evaluating the Accuracy of Machine Learning Algorithms on Detecting Code Smells for Different Developers. | 1 | 0.35 | 2017 |
| Understanding the impact of refactoring on smells: a longitudinal study of 23 software projects | 13 | 0.52 | 2017 |
| Smells are sensitive to developers!: on the efficiency of (un)guided customized detection. | 2 | 0.37 | 2017 |
| Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses. | 22 | 1.17 | 2017 |
| Software Metrics and Security Vulnerabilities: Dataset and Exploratory Study | 3 | 0.43 | 2016 |
| Code Change History and Software Vulnerabilities | 1 | 0.35 | 2016 |
| Experimenting Machine Learning Techniques to Predict Vulnerabilities | 2 | 0.40 | 2016 |
| Assessing fine-grained feature dependencies. | 6 | 0.40 | 2016 |
| Experience report: Evaluating the effectiveness of decision trees for detecting code smells | 8 | 0.44 | 2015 |
| Using developers' feedback to improve code smell detection | 3 | 0.37 | 2015 |
| Towards an Agent-Based Approach for Automatic Generation of Researcher Profiles Using Multiple Data Sources | 0 | 0.34 | 2013 |
| JAAF+T: a framework to implement self-adaptive agents that apply self-test | 5 | 0.69 | 2010 |
