|
| ID | Authors | Title | Year | Score |
|
| [19] | K´ad´ar et al. | A code refactoring dataset and its assessment regarding software maintainability | 2016 | 4 |
| [6] | Sarwar et al. | A comparative study of MI tools: defining the roadmap to MI tools standardization | 2008 | 4 |
| [9] | Tahir and Ahmad | An AOP-based approach for collecting software maintainability dynamic metrics | 2010 | 4 |
| [20] | Gil et al. | An empirical investigation of changes in some software properties over time | 2012 | 4 |
| [21] | Jain et al. | An empirical investigation of evolutionary algorithm for software maintainability prediction | 2016 | 4 |
| [22] | Curtis et al. | An evaluation of the internal quality of business applications: does size matter? | 2011 | 4 |
| [23] | Chhillar and Gahlot | An evolution of software metrics: a review | 2017 | 4 |
| [24] | Tian et al. | AODE for source code metrics for improved software maintainability | 2008 | 5 |
| [25] | Kaur et al. | A proposed new model for maintainability index of open-source software | 2014 | 4 |
| [26] | Barbosa and Hirama | Assessment of software maintainability evolution using C&K metrics | 2013 | 5 |
| [27] | Misra et al. | A suite of object-oriented cognitive complexity metrics | 2018 | 5 |
| [28] | Rongviriyapanish et al. | Changeability prediction model for Java class based on multiple layer perceptron neural network | 2016 | 4 |
| [29] | Arshad and Tjortjis | Clustering software metric values extracted from C# code for maintainability assessment | 2016 | 4 |
| [30] | Pizka | Code normal forms | 2005 | 4 |
| [15] | Ludwig et al. | Compiling static software metrics for reliability and maintainability from GitHub repositories | 2017 | 5 |
| [31] | Mamun et al. | Correlations of software code metrics: an empirical study | 2017 | 5 |
| [32] | Alves et al. | Deriving metric thresholds from benchmark data | 2010 | 4 |
| [33] | Matsushita and Sasano | Detecting code clones with gaps by function applications | 2017 | 4 |
| [34] | Silva et al. | Detecting modularity flaws of evolving code: what the history can reveal? | 2010 | 4 |
| [16] | Liu et al. | Evaluate how cyclomatic complexity changes in the context of software evolution | 2018 | 5 |
| [35] | Ch´avez et al. | How does refactoring affect internal quality attributes? a multiproject study | 2017 | 4 |
| [36] | Ma et al. | How multiple-dependency structure of classes affects their functions: a statistical perspective | 2010 | 4 |
| [37] | Wahler et al. | Improving code maintainability: A case study on the impact of refactoring | 2016 | 4 |
| [38] | Kaur and Singh | Improving the quality of software by refactoring | 2017 | 4 |
| [39] | Yan et al. | Learning to aggregate: an automated aggregation method for software quality model | 2017 | 4 |
| [40] | Chatzidimitriou et al. | npm-miner: an infrastructure for measuring the quality of the npm registry | 2018 | 4 |
| [41] | Bohnet and ollner | Monitoring code quality and development activity by software maps | 2011 | 4 |
| [14] | Ostberg and Wagner | On automatically collectable metrics for software maintainability evaluation | 2014 | 4 |
| [42] | Narayanan Prasanth et al. | Prediction of maintainability using software complexity analysis: an extended FRT | 2008 | 4 |
| [43] | Wang et al. | Predicting object-oriented software maintainability using projection pursuit regression | 2009 | 4 |
| [44] | Sjøberg et al. | Questioning software maintenance metrics: a comparative case study | 2012 | 5 |
| [45] | Hindle et al. | Reading beside the lines: indentation as a proxy for complexity metric | 2008 | 4 |
| [46] | Lee and Chang | Reusability and maintainability metrics for object-oriented software | 2000 | 4 |
| [47] | Sinha et al. | Software complexity measurement using multiple criteria | 2013 | 4 |
| [5] | Kaur et al. | Software maintainability prediction by data mining of software code metrics | 2014 | 5 |
| [48] | Vytovtov and Markov | Source code quality classification based on software metrics | 2017 | 4 |
| [49] | Gold et al. | Spatial complexity metrics: an investigation of utility | 2005 | 4 |
| [50] | Ludwig et al. | Static software metrics for reliability and maintainability | 2018 | 5 |
| [51] | Saboe | The use of software quality metrics in the materiel release process experience report | 2001 | 4 |
| [52] | Yamashita et al. | Using concept mapping for maintainability assessments | 2009 | 5 |
| [53] | Threm et al. | Using normalized compression distance to measure the evolutionary stability of software systems | 2015 | 4 |
| [54] | Gon¸calves et al. | Using TDD for developing object-oriented software—A Case study | 2015 | 4 |
| [55] | Jermakovics et al. | Visualizing software evolution with Lagrein | 2008 | 4 |
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