| Blockchain and Contact Tracing Applications for COVID-19: The Opportunity and The Challenges | 0 | 0.34 | 2021 |
| Could Blockchain Help With COVID-19 Crisis? | 0 | 0.34 | 2021 |
| Fault-insertion and fault-fixing: analysing developer activity over time | 0 | 0.34 | 2020 |
| Is Complexity of Re-test a Reason Why Some Refactorings Are Buggy? an Empirical Perspective. | 0 | 0.34 | 2020 |
| On the Link Between Refactoring Activity and Class Cohesion Through the Prism of Two Cohesion-Based Metrics | 0 | 0.34 | 2020 |
| Investigation of Mutual-Influence among Blockchain Development Communities and Cryptocurrency Price Changes | 0 | 0.34 | 2020 |
| Using the Lexicon from Source Code to Determine Application Domains | 0 | 0.34 | 2020 |
| An Empirical Study of the AGIS Visual Field Metric and Its Seasonal Variations | 0 | 0.34 | 2019 |
| On the Relationship Between Coupling and Refactoring: An Empirical Viewpoint | 1 | 0.35 | 2019 |
| Blockchain: a panacea for electronic health records? | 0 | 0.34 | 2019 |
| Investigating quality requirements for blockchain-based healthcare systems | 1 | 0.35 | 2019 |
| 113 times Tomcat: A dataset. | 1 | 0.37 | 2018 |
| Angry-builds - an empirical study of affect metrics and builds success on github ecosystem. | 0 | 0.34 | 2018 |
| A Longitudinal Study of Anti Micro Patterns in 113 versions of Tomcat. | 0 | 0.34 | 2018 |
| Analysing Developers Affectiveness through Markov chain Models. | 0 | 0.34 | 2018 |
| Mining Communication Patterns in Software Development: A GitHub Analysis. | 2 | 0.36 | 2018 |
| Do Developers Really Worry About Refactoring Re-test? An Empirical Study of Open-Source Systems. | 0 | 0.34 | 2018 |
| Smart contracts vulnerabilities: a call for blockchain software engineering? | 3 | 0.50 | 2018 |
| On measuring affects of github issues' commenters. | 3 | 0.39 | 2018 |
| Smart Contracts Software Metrics: a First Study. | 0 | 0.34 | 2018 |
| On the randomness and seasonality of affective metrics for software development. | 6 | 0.47 | 2017 |
| Connecting the Dots: Measuring Effectiveness and Affectiveness in Software Systems. | 0 | 0.34 | 2017 |
| 8th Workshop on Emerging Trends in Software Metrics (WETSoM 2017) | 0 | 0.34 | 2017 |
| Measuring Affectiveness and Effectiveness in Software Systems. | 0 | 0.34 | 2017 |
| How diverse is your team? Investigating gender and nationality diversity in GitHub teams. | 7 | 0.53 | 2017 |
| Signature-based detection of behavioural deviations in flight simulators - Experiments on FlightGear and JSBSim. | 0 | 0.34 | 2016 |
| Arsonists or Firefighters? Affectiveness in Agile Software Development. | 5 | 0.42 | 2016 |
| Measuring high and low priority defects on traditional and mobile open source software. | 2 | 0.53 | 2016 |
| A statistical comparison of Java and Python software metric properties. | 3 | 0.42 | 2016 |
| The emotional side of software developers in JIRA. | 25 | 0.80 | 2016 |
| Comparing Test and Production Code Quality in a Large Commercial Multicore System | 2 | 0.37 | 2016 |
| Mining Valence, Arousal, and Dominance - Possibilities for Detecting Burnout and Productivity? | 26 | 0.81 | 2016 |
| Measuring and Understanding the Effectiveness of JIRA Developers Communities | 11 | 0.62 | 2015 |
| Estimating Development Effort For Software Architectural Tactics | 0 | 0.34 | 2015 |
| Software development: do good manners matter? | 23 | 1.10 | 2015 |
| The JIRA Repository Dataset: Understanding Social Aspects of Software Development | 21 | 0.77 | 2015 |
| A Curated Benchmark Collection of Python Systems for Empirical Studies on Software Engineering | 7 | 0.48 | 2015 |
| Are bullies more productive?: empirical study of affectiveness vs. issue fixing time | 38 | 1.08 | 2015 |
| Software Metrics in Agile Software: An Empirical Study. | 9 | 0.58 | 2014 |
| Micro Patterns in Agile Software. | 10 | 0.73 | 2013 |
| Micro Pattern Fault-Proneness | 16 | 0.80 | 2012 |
| An Empirical Study Of Software Metrics For Assessing The Phases Of An Agile Project | 9 | 0.67 | 2012 |
| An analysis of anti-micro-patterns effects on fault-proneness in large Java systems | 6 | 0.48 | 2012 |
| A case study of the use of Open Source CMS in Public Administrations | 0 | 0.34 | 2012 |
