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Object-Oriented Metrics in Practice
TLDR
This is a book that will show you even new to old thing, and when you are really dying of object oriented metrics in practice, just pick this book; it will be right for you.
An extensive comparison of bug prediction approaches
TLDR
The absence of an established benchmark makes it hard, if not impossible, to compare approaches to bug prediction, and this paper aims to address this problem.
View on IEEE
Evaluating defect prediction approaches: a benchmark and an extensive comparison
TLDR
The results indicate that, while some approaches perform better than others in a statistically significant manner, external validity in defect prediction is still an open problem, as generalizing results to different contexts/learners proved to be a partially unsuccessful endeavor.
View on Springer
Object-Oriented Metrics in Practice - Using Software Metrics to Characterize, Evaluate, and Improve the Design of Object-Oriented Systems
Presents a novel metrics-based approach for detecting design problems in object-oriented software. Introduces an important suite of detection strategies for the identification of different well-known…
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Polymetric Views - A Lightweight Visual Approach to Reverse Engineering
TLDR
The concept of a polymetric view is presented, a lightweight software visualization technique enriched with software metrics information that helps to understand the structure and detect problems of a software system in the initial phases of a reverse engineering process.
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On the nature of commits
TLDR
This paper defines the size of commits in terms of number of files, and then classify commits based on the content of their comments, using the history log of nine large open source projects to perform this study.
View on IEEE
Visualizing Software Systems as Cities
This paper presents a 3D visualization approach which gravitates around the city metaphor, i.e., an object-oriented software system is represented as a city that can be traversed and interacted with:…
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Sentiment Analysis for Software Engineering: How Far Can We Go?
TLDR
This work retrained—on a set of 40k manually labeled sentences/words extracted from Stack Overflow—a state-of-the-art sentiment analysis tool exploiting deep learning, and found the results were negative.
View on ACM
The evolution matrix: recovering software evolution using software visualization techniques
TLDR
This paper proposes an approach based on a combination of software visualization and software metrics which has already been successfully applied in the field of software reverse engineering which helps to recover the evolution of object oriented software systems.
View on ACM
Mining StackOverflow to turn the IDE into a self-confident programming prompter
TLDR
A novel approach is proposed that, given a context in the IDE, automatically retrieves pertinent discussions from Stack Overflow, evaluates their relevance, and, if a given confidence threshold is surpassed, notifies the developer about the available help.
View on ACM
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