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How Does Test-Driven Development Affect the Quality of Developed Software?
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NULL
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[2]
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SSPCATCHER: Learning to catch security patches
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Empirical Software …,
2022 |
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[3]
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Cognitive Complexity Reduction through Control Flow Graph Generation
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2022 IEEE 7th International …,
2022 |
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[4]
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SysRepoAnalysis: A tool to analyze and identify critical areas of source code repositories
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Proceedings of the XXXVI …,
2022 |
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Prioritization of god class design smell: A multi-criteria based approach
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Journal of King Saud …,
2022 |
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Avaliação de custo de construção de software com uso de distintos BaaS
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2022 |
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Fault-Detection Tactics for Optimized Embedded Systems Efficiency
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IEEE Access,
2021 |
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Predictors of Software Metric Correlation: A Non-parametric Analysis
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2021 IEEE 21st International Conference …,
2021 |
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[9]
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Technical decision-making in startups and its impact on growth and technical debt
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2021 |
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[10]
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Concurrency in Android development–Kotlin Coroutines and RxJava
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2021 |
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[11]
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Intelligent Agents are More Complex: Initial Empirical Findings
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Artificial Intelligence Methods For …,
2021 |
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[12]
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Software Complexity Reduction through the Process Automation in Software Development Life Cycle
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2021 Fourth International …,
2021 |
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Clustering of programming exercises for efficient reviewing and exploration
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2021 |
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BIM Visual Programming Tools Applications in Infrastructure Projects: A State-of-the-Art Review
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Galant, JA Lozano-Galant… - Applied Sciences,
2021 |
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[15]
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An Empirical Comparison Between Tutorials and Crowd Documentation of Application Programming Interface
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Journal of Computer Science …,
2021 |
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[16]
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An exploration of the test prioritization process on large software projects with no requirement specification
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2020 |
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[17]
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REDUCING STRUCTURAL AMBIGUITY IN NATURAL LANGUAGE SOFTWARE REQUIREMENTS SPECIFICATIONS
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2020 |
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[18]
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An Empirical Study Investigating the Predictors of Software Metric Correlation in Application Code and Test Code.
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2020 |
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[19]
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A Tool-Based Perspective on Software Code Maintainability Metrics: A Systematic Literature Review
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2020 |
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[20]
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Development of an Enhanced Automated Software Complexity Measurement System
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2020 |
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[21]
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Toward Data-Driven Discovery of Software Vulnerabilities
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2020 |
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[22]
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Learning to Catch Security Patches
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2020 |
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[23]
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Atoms of Confusion: Misunderstanding of Obfuscated Source Code
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2020 |
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[24]
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Toward Automated Vehicle Teleoperation: Vision, Opportunities, and Challenges
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2020 |
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[25]
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VComputeLib: Enabling Cross-Platform GPGPU on Mobile and Embedded GPUs
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2019 |
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[26]
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Manutenibilità del codice sorgente scritto in Rust
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2019 |
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[27]
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New Metrics for Predicting the Reliability of Individual Component Based on Software Design Metrics
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2019 |
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[28]
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Software Reliability: A Must
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2019 |
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[29]
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Comparing the Performance of String Operations Across Programming Languages
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2019 |
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[30]
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Hybrid Technique for Complexity Analysis for Java Code
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2019 |
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[31]
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Effects of measurements on correlations of software code metrics
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2019 |
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[32]
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Investigating Evolution in Open Source Software
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2019 |
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[33]
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Team Topologies: Organizing Business and Technology Teams for Fast Flow
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2019 |
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[34]
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A User Feedback Centric Approach for Detecting and Mitigating God Class Code Smell Using Frequent Usage Patterns
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2019 |
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[35]
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Large-Scale Empirical Study of Important Features Indicative of Discovered Vulnerabilities to Assess Application Security
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2019 |
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[36]
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PRIKUPLJANJE I PRIKAZ PODATAKA O IZVRŠAVANJU PROGRAMA
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2019 |
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[37]
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Examining Software Design Projects in a First-Year Engineering Course:: The Impact of the Project Type on Programming Complexity and Programming
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2018 |
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[38]
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Designing ANFIS Model to Predict the Reliability of Component-Based System
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Soft Computing: Theories and Applications,
2018 |
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[39]
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A Decision Tree Approach to Identify the Factors Affecting Reliability for Component-Based System
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Smart Computing and Informatics,
2018 |
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[40]
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Using code quality features to predict bugs in procedural software systems
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SBES 2018 Proceedings of the XXXII Brazilian Symposium on Software Engineering,
2018 |
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[41]
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Prevalence of confusing code in software projects: atoms of confusion in the wild
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MSR 2018 Proceedings of the 15th International Conference on Mining Software Repositories,
2018 |
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[42]
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Code Complexity Management for Practitioners
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2018 |
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[43]
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PERFORMANCE EVALUATION OF IMPROVED COGNITIVE COMPLEXITY METRIC AND OTHER CODE BASED COMPLEXITY METRICS
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2018 |
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[44]
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Prevalence of Confusing Code in Sotware Projects
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2018 |
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[45]
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An Empirical Comparison between API Tutorials and API Crowd Documentation
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2018 |
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[46]
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Linear Prediction Model for Effort in Programming based on User Acceptance and Revised use Case Point Method
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International Journal of Advanced …,
2017 |
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[47]
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Code smells for Model-View-Controller architectures
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Empirical Software Engineering,
2017 |
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[48]
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Proactive Software Complexity Assessment
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2017 |
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[49]
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Evaluating code complexity triggers, use of complexity measures and the influence of code complexity on maintenance time
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Empirical Software Engineering,
2017 |
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[50]
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An Empirical Study on the Effect of Testing on Code Quality using Topic Models: A Case Study on Software Development Systems
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IEEE TRANSACTIONS ON RELIABILITY,
2017 |
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[51]
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On the Effectiveness of Bug Predictors with Procedural Systems: A Quantitative Study
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Fundamental Approaches to Software Engineering,
2017 |
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[52]
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An Assessment Framework of Routing Complexities using LOC Metrics
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2017 |
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[53]
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Comparison of IDE extracted effort versus static metrics for assessing software maintainability
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Thesis,
2017 |
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[54]
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Network Security Metrics: Estimating the Resilience of Networks Against Zero Day Attacks
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2017 |
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[55]
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Agents are More Complex than Other Software: An Empirical Investigation
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2017 |
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[56]
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Correlations of software code metrics: an empirical study
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IWSM Mensura 2017 Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement,
2017 |
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[57]
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Conception des systèmes embarqués: applications, algorithmes et architectures
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Electronique. Université Bretagne Sud; Université Bretagne Loire,
2016 |
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[58]
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Qualitative and Quantitative Assessment of Integration Testing for Model-Based Software in the Automotive Industry
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2016 |
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[59]
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Transaction-Aware Aspects with TransJ: An Initial Empirical Study to Demonstrate Improvement in Reusability
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2016 |
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[60]
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Software Complexity Prediction by Using Basic Attributes
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International Journal of Advanced Engineering Research and Science,
2016 |
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[61]
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Topic-based software defect explanation
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Journal of Systems and Software,
2016 |
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[62]
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Validating software measures using action research a method and industrial experiences
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Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering,
2016 |
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[63]
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The European Atlas of Forest Tree Species: modelling, data and information on forest tree species
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2016 |
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[64]
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Unveiling anomalies and their impact on software quality in model-based automotive software revisions with software metrics and domain experts
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ISSTA 2016 Proceedings of the 25th International Symposium on Software Testing and Analysis,
2016 |
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[65]
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Validating Software Measures Using Action Research
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2016 |
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[66]
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Comparing strategies to construct local disaster recovery networks
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2016 |
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[67]
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An Accumulated Cognitive Approach to Measure Software Complexity
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2015 |
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[68]
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Análise de complexidade de programas em ferramentas de apoio à decisão
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2015 |
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[69]
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Evaluating and Mitigating the Impact of Complexity in Software Models
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2015 |
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[70]
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EVALUATING TESTING EFFORT AND ITS CORRELATION TO CYCLOMACTIC COMPLEXITY AND CODE COVERAGE
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2015 |
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[71]
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Comparing the applicability of complexity measurements for simulink models during integration testing: an industrial case study
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Proceedings of the Second International Workshop on Software Architecture and Metrics,
2015 |
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[72]
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Using C Language Extensions for Developing Embedded Software: A Case Study
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Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications,
2015 |
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VCCFinder: Finding Potential Vulnerabilities in Open-Source Projects to Assist Code Audits
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Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security,
2015 |
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[74]
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Towards Improving Software Security using Language Engineering and mbeddr C
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2015 |
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[75]
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Empirical analysis of the relationship between CC and SLOC in a large corpus of Java methods and C functions
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Journal of Software: Evolution and Process,
2015 |
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[76]
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Evaluating the authoring complexity of interactive narratives with interactive behaviour trees
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Foundations of Digital Games,
2015 |
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FAA RESEARCH PROJECT ON SYSTEM COMPLEXITY EFFECTS ON AIRCRAFT SAFETY: CANDIDATE COMPLEXITY METRICS
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2015 |
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[78]
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Automated analysis of software artefacts-a use case in e-assessment
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Dissertation,
2015 |
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[79]
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Software Development Method for Improving Maintainability Using Code Generation
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2015 |
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[80]
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Polymorphism in the Spotlight: How Developers Use it in Practice.
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2014 |
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[81]
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Identifying Risky Areas of Software Code in Agile/Lean Software Development: A Method and its Industrial Evaluation
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Conference Paper,
2014 |
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[82]
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A COMPARATIVE STUDY OF SOFTWARE COMPLEXITY METRIC
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Engineering Sciences International Research Journal,
2014 |
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[83]
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Automação da análise de qualidade de código
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2014 |
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[84]
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Identifying risky areas of software code in Agile/Lean software development: An industrial experience report
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Software Maintenance, Reengineering and Reverse Engineering (CSMR-WCRE), 2014 Software Evolution Week-IEEE Conference on. IEEE,
2014 |
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[85]
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Empowering Technical Risk Assessment in Software Development
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2014 |
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[86]
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A survey on impact of lines of code on software complexity
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Advances in Engineering and Technology Research (ICAETR), 2014 International Conference on,
2014 |
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[87]
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Meteor framework, a new approach to webdevelopment: an experimental analysis
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NULL
2014 |
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[88]
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Empirical analysis of the relationship between CC and SLOC in a large corpus of Java methods
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D Landman, A Serebrenik, J Vinju - homepages.cwi.nl,
2014 |
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[89]
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A framework for improving the concept of Cyclomatic complexity in object-oriented programming
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VKG Bhalla - dspace.thapar.edu,
2014 |
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[90]
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Improving Software Security using Language Engineering and mbeddr C
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2014 |
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[91]
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The relationship between CC and SLOC: a preliminary analysis on its evolution
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2014 |
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[92]
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The Modularity of the Resource Utilization Model in Python
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2014 |
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[93]
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Monitoring Evolution of Code Complexity in Agile/Lean Software Development
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2013 |
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[94]
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Factors Affecting the Design and Use of Reusable Components
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NULL
2013 |
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[95]
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An empirical evaluation of mutation testing for improving the test quality of safety-critical software
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Software Engineering, IEEE Transactions on,
2013 |
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[96]
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A Comparison of Five Programming Languages in a Graph Clustering Scenario.
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J. UCS,
2013 |
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[97]
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Supporting Concurrency Abstractions in High-level Language Virtual Machines
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NULL
2013 |
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[98]
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A Conceptual Approach for Assessing SOA Design Defects' Impact on Quality Attributes
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Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2013 12th International Symposium on. IEEE,
2013 |
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[99]
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Measuring Source Code Quality Of Multi-Language Software Systems
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NULL
2013 |
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[100]
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A Study in Determining Complexity
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J Brood - pure.ltu.se,
2013 |
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[101]
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En studie i att bestämma komplexitet: Att visa och exponera relationer mellan objekt i en topologi
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Thesis,
2013 |
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[102]
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A comparison of five programming languages in a graph clustering scenario
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2013 |
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[103]
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Cyclomatic Complexity for WCF: A Service Oriented Architecture
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Frontiers of Information Technology (FIT), 2012 10th International Conference on. IEEE,
2012 |
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[104]
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Who? where? what? examining distributed development in two large open source projects
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Mining Software Repositories (MSR), 2012 9th IEEE Working Conference on. IEEE,
2012 |
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[105]
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Understanding structural complexity evolution: a quantitative analysis
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Software Maintenance and Reengineering (CSMR), 2012 16th European Conference on. IEEE,
2012 |
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[106]
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Analyzing measurements of the R statistical open source software
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Software Engineering Workshop (SEW), 2012 35th Annual IEEE,
2012 |
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[107]
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(S)LOC Count Evolution for Selected OSS Projects
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NULL
2009 |
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[108]
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Analysis of Cognitive Complexity with Cyclomatic Complexity Metric of Software
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[109]
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An Empirical Study of the Extent and Causes of Technical Debt in Public Organizations Software Systems
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[110]
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Improving code smell predictions in continuous integration by differentiating organic from cumulative measures
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[111]
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Code Context Based Generation of Refactoring Guidance
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