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Accurately Predicting the Location of Code Fragments in Programming Video Tutorials Using Deep Learning
Background: Video programming tutorials are becoming a popular resource for developers looking for quick answers to a specific programming problem or trying to learn a programming topic in more depth. Since the most important source of information for ...
A Public Unified Bug Dataset for Java
Background: Bug datasets have been created and used by many researchers to build bug prediction models.
Aims: In this work we collected existing public bug datasets and unified their contents.
Method: We considered 5 public datasets which adhered to all ...
An Empirical Study of Metric-based Comparisons of Software Libraries
BACKGROUND: Software libraries provide a set of reusable functionality, which helps developers write code in a systematic and timely manner. However, selecting the appropriate library to use is often not a trivial task. AIMS: In this paper, we ...
Cross-Version Defect Prediction using Cross-Project Defect Prediction Approaches: Does it work?
Background: Specifying and removing defects before release deserve extra cost for the success of software projects. Long-running projects experience multiple releases, and it is a natural choice to adopt cross-version defect prediction (CVDP) that uses ...
How Effectively Is Defective Code Actually Tested?: An Analysis of JUnit Tests in Seven Open Source Systems
Background: Newspaper headlines still regularly report latent software defects. Such defects have often evaded testing for many years. It remains difficult to identify how well a system has been tested. It also remains difficult to assess how successful ...
Using Bayesian Networks to estimate Strategic Indicators in the context of Rapid Software Development
Background: During Rapid Software Development, a large amount of project and development data can be collected from different and heterogeneous data sources. Aims: Design a methodology to process these data and turn it into relevant strategic indicators ...
Modeling Relationship between Post-Release Faults and Usage in Mobile Software
Background: The way post-release usage of a software affects the number of faults experienced by users is scarcely explored due to the proprietary nature of such data. The commonly used quality measure of post-release faults may, therefore, reflect usage ...
Are Software Dependency Supply Chain Metrics Useful in Predicting Change of Popularity of NPM Packages?
Background: As software development becomes more interdependent, unique relationships among software packages arise and form complex software ecosystems. Aim: We aim to understand the behavior of these ecosystems better through the lens of software ...
Mining Communication Patterns in Software Development: A GitHub Analysis
Background: Studies related to human factors in software engineering are providing insightful information on the emotional state of contributors and the impact this has on the code. The open source software development paradigm involves different roles, ...
An Improvement to Test Case Failure Prediction in the Context of Test Case Prioritization
Aim: In this study, we aim to re-evaluate research questions on the ability of a logistic regression model proposed in a previous work to predict and prioritize the failing test cases based on some test quality metrics. Background: The process of ...
A Longitudinal Study of Anti Micro Patterns in 113 versions of Tomcat
Background: Micro patterns represent design decisions in code. They are similar to design patterns and can be detected automatically. These micro structures can be helpful in identifying portions of code which should be improved (anti-micro patterns), or ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
PROMISE | 25 | 12 | 48% |
PROMISE 2016 | 23 | 10 | 43% |
PROMISE '15 | 16 | 8 | 50% |
PROMISE '14 | 21 | 9 | 43% |
PROMISE '12 | 24 | 12 | 50% |
Promise '11 | 35 | 15 | 43% |
PROMISE '10 | 53 | 19 | 36% |
PROMISE '08 | 16 | 13 | 81% |
Overall | 213 | 98 | 46% |