| Software engineering and advanced applications conference 2019 – selected papers | 0 | 0.34 | 2021 |
| (Research) Insights for Serverless Application Engineering | 0 | 0.34 | 2021 |
| Applicability of Machine Learning Architectural Patterns in Vehicle Architecture - A Case Study. | 0 | 0.34 | 2021 |
| A classification of code changes and test types dependencies for improving machine learning based test selection | 0 | 0.34 | 2021 |
| MeTeaM—A method for characterizing mature software metrics teams | 0 | 0.34 | 2021 |
| Recognizing lines of code violating company-specific coding guidelines using machine learning | 1 | 0.34 | 2020 |
| LegacyPro—A DNA-Inspired Method for Identifying Process Legacies in Software Development Organizations | 0 | 0.34 | 2020 |
| Selective Regression Testing based on Big Data: Comparing Feature Extraction Techniques | 0 | 0.34 | 2020 |
| Deep learning model for end-to-end approximation of COSMIC functional size based on use-case names | 0 | 0.34 | 2020 |
| Early Prediction of Test Case Verdict with Word Embeddings vs. Bag-of-Words. | 0 | 0.34 | 2020 |
| Making Software Measurement Standards Understandable. | 0 | 0.34 | 2020 |
| Predicting Test Case Verdicts Using Textual Analysis of Committed Code Churns. | 0 | 0.34 | 2019 |
| A Pragmatic View on Code Complexity Management | 0 | 0.34 | 2019 |
| PHANTOM: Curating GitHub for engineered software projects using time-series clustering | 0 | 0.34 | 2019 |
| Evolution of Technical Debt - An Exploratory Study. | 0 | 0.34 | 2019 |
| Information Needs for SAFe Teams and Release Train Management - A Design Science Research Study. | 0 | 0.34 | 2019 |
| Simsax: A measure of project similarity based on symbolic approximation method and software defect inflow. | 0 | 0.34 | 2019 |
| Using Self-Healing to Increase Robustness of Handling In-Browser Third-Party Content | 0 | 0.34 | 2018 |
| Software traceability in the automotive domain: Challenges and solutions. | 1 | 0.35 | 2018 |
| Measure early and decide fast: transforming quality management and measurement to continuous deployment. | 0 | 0.34 | 2018 |
| Mythical Unit Test Coverage. | 3 | 0.40 | 2018 |
| Message from the WASA 2018 Organizing Committee | 0 | 0.34 | 2018 |
| Milestone-Oriented Usage of Key Performance Indicators ? An Industrial Case Study. | 0 | 0.34 | 2018 |
| Special section on Visual Analytics in Software Engineering. | 0 | 0.34 | 2018 |
| Vetting Automatically Generated Trace Links: What Information is Useful to Human Analysts? | 0 | 0.34 | 2018 |
| Building an Effective Software Issues Scorecard: An Action Research Report from the Automotive Domain | 0 | 0.34 | 2018 |
| Assessing the release readiness of engine control software. | 0 | 0.34 | 2018 |
| Rendex: A method for automated reviews of textual requirements. | 1 | 0.36 | 2017 |
| Theta Architecture: Preserving the Quality of Analytics in Data-Driven Systems. | 0 | 0.34 | 2017 |
| Challenges of Establishing Traceability in the Automotive Domain. | 1 | 0.37 | 2017 |
| Evaluating code complexity triggers, use of complexity measures and the influence of code complexity on maintenance time. | 2 | 0.35 | 2017 |
| Measuring the Evolution of Meta-models - A Case Study of Modelica and UML Meta-models. | 1 | 0.35 | 2017 |
| Co-Evolution of Meta-Modeling Syntax and Informal Semantics in Domain-Specific Modeling Environments — A Case Study of AUTOSAR | 0 | 0.34 | 2017 |
| Message from the WASA 2017 Organizing Committee | 0 | 0.34 | 2017 |
| A Portfolio of Internal Quality Metrics for Software Architects. | 0 | 0.34 | 2017 |
| Predicting and Evaluating Software Model Growth in the Automotive Industry | 0 | 0.34 | 2017 |
| Preface to the special issue on advances in software measurement. | 0 | 0.34 | 2017 |
| MeSRAM – A method for assessing robustness of measurement programs in large software development organizations and its industrial evaluation | 4 | 0.45 | 2016 |
| Improving Measurement Certainty by Using Calibration to Find Systematic Measurement Error - A Case of Lines-of-Code Measure. | 0 | 0.34 | 2016 |
| Should We Adopt a New Version of a Standard? - A Method and Its Evaluation on AUTOSAR. | 1 | 0.37 | 2016 |
| Analyzing defect inflow distribution and applying Bayesian inference method for software defect prediction in large software projects. | 3 | 0.38 | 2016 |
| Validating software measures using action research a method and industrial experiences. | 3 | 0.50 | 2016 |
| A Key Performance Indicator Quality Model and Its Industrial Evaluation | 0 | 0.34 | 2016 |
| Unveiling anomalies and their impact on software quality in model-based automotive software revisions with software metrics and domain experts. | 1 | 0.63 | 2016 |
| First International Workshop on Emerging Trends in DevOps and Infrastructure. | 0 | 0.34 | 2016 |
| A Complexity Measure for Textual Requirements | 0 | 0.34 | 2016 |
| Guest editorial on special section: Automotive Software Architecture. | 0 | 0.34 | 2016 |
| Comparing the applicability of complexity measurements for simulink models during integration testing: an industrial case study | 3 | 0.42 | 2015 |
| ARCA -- Automated Analysis of AUTOSAR Meta-model Changes | 4 | 0.46 | 2015 |
| Classifying Obstructive and Nonobstructive Code Clones of Type I Using Simplified Classification Scheme: A Case Study. | 0 | 0.34 | 2015 |
