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PROMISE 2016: Proceedings of the The 12th International Conference on Predictive Models and Data Analytics in Software Engineering
ACM2016 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
PROMISE 2016: The 12th International Conference on Predictive Models and Data Analytics in Software Engineering Ciudad Real Spain 9 September 2016
ISBN:
978-1-4503-4772-3
Published:
09 September 2016
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Abstract

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research-article
Forecasting Communication Behavior in Student Software Projects
Article No.: 1, Pages 1–8https://doi.org/10.1145/2972958.2972961

Communication is an essential part of software product development. Therefore, communication is an inevitable means for information sharing. For example, ill-communicated requirements, guidelines or decisions complicate working in a team and may threaten ...

research-article
Estimating Story Points from Issue Reports
Article No.: 2, Pages 1–10https://doi.org/10.1145/2972958.2972959

Estimating the effort of software engineering tasks is notoriously hard but essential for project planning. The agile community often adopts issue reports to describe tasks, and story points to estimate task effort. In this paper, we propose a machine ...

research-article
Search Based Training Data Selection For Cross Project Defect Prediction
Article No.: 3, Pages 1–10https://doi.org/10.1145/2972958.2972964

Context: Previous studies have shown that steered training data or dataset selection can lead to better performance for cross project defect prediction (CPDP). On the other hand, data quality is an issue to consider in CPDP.

Aim: We aim at utilising the ...

short-paper
On the Terms Within- and Cross-Company in Software Effort Estimation
Article No.: 4, Pages 1–4https://doi.org/10.1145/2972958.2972968

Background: the terms Within-Company (WC) and Cross-Company (CC) in Software Effort Estimation (SEE) have the connotation that CC projects are considerably different from WC projects, and that WC projects are more similar to the projects being estimated. ...

research-article
Measuring the Stylistic Inconsistency in Software Projects using Hierarchical Agglomerative Clustering
Article No.: 5, Pages 1–10https://doi.org/10.1145/2972958.2972963

Background: Although many software engineering methodologies and guidelines are provided, it is common that developers apply their very own programming styles to the source code being produced. These individually preferred programming styles are more ...

research-article
An Empirical Evaluation of Distribution-based Thresholds for Internal Software Measures
Article No.: 6, Pages 1–10https://doi.org/10.1145/2972958.2972965

Background Setting thresholds is important for the practical use of internal software measures, so software modules can be classified as having either acceptable or unacceptable quality, and software practitioners can take appropriate quality improvement ...

short-paper
Data Sets and Data Quality in Software Engineering: Eight Years On
Article No.: 7, Pages 1–4https://doi.org/10.1145/2972958.2972967

Context: We revisit our review of data quality within the context of empirical software engineering eight years on from our PROMISE 2008 article.

Objective: To assess the extent and types of techniques used to manage quality within data sets. We consider ...

research-article
Hidden Markov Models for the Prediction of Developer Involvement Dynamics and Workload
Article No.: 8, Pages 1–10https://doi.org/10.1145/2972958.2972960

The evolution of software projects is driven by developers who are in control of the developed artifacts. When analyzing the behavior of developers, the observable behaviors are, e.g., commits, messages, or bug assignments. For defining dynamic ...

research-article
Predicting the Popularity of GitHub Repositories
Article No.: 9, Pages 1–10https://doi.org/10.1145/2972958.2972966

GitHub is the largest source code repository in the world. It provides a git-based source code management platform and also many features inspired by social networks. For example, GitHub users can show appreciation to projects by adding stars to them. ...

short-paper
A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability
Article No.: 10, Pages 1–4https://doi.org/10.1145/2972958.2972962

Refactoring is a popular technique for improving the internal structure of software systems. It has a solid theoretical background while being used in development practice at the same time. However, we lack empirical research results on the real effect ...

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Acceptance Rates

PROMISE 2016 Paper Acceptance Rate 10 of 23 submissions, 43%;
Overall Acceptance Rate 98 of 213 submissions, 46%
YearSubmittedAcceptedRate
PROMISE251248%
PROMISE 2016231043%
PROMISE '1516850%
PROMISE '1421943%
PROMISE '12241250%
Promise '11351543%
PROMISE '10531936%
PROMISE '08161381%
Overall2139846%