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Empirical Software Engineering

Ausgabe 3/2019

Title: Includes a Special Section on Mining Software Repositories

Inhalt (17 Artikel)

The open science initiative of the Empirical Software Engineering journal

Daniel Méndez Fernández, Martin Monperrus, Robert Feldt, Thomas Zimmermann

An empirical study of architecting for continuous delivery and deployment

Mojtaba Shahin, Mansooreh Zahedi, Muhammad Ali Babar, Liming Zhu

A comprehensive study of pseudo-tested methods

Oscar Luis Vera-Pérez, Benjamin Danglot, Martin Monperrus, Benoit Baudry

Comparing the influence of using feature-oriented programming and conditional compilation on comprehending feature-oriented software

Alcemir Rodrigues Santos, Ivan do Carmo Machado, Eduardo Santana de Almeida, Janet Siegmund, Sven Apel

Categorizing the Content of GitHub README Files

Gede Artha Azriadi Prana, Christoph Treude, Ferdian Thung, Thushari Atapattu, David Lo

Open Access

Discovering community patterns in open-source: a systematic approach and its evaluation

Damian A. Tamburri, Fabio Palomba, Alexander Serebrenik, Andy Zaidman

Commenting source code: is it worth it for small programming tasks?

Sebastian Nielebock, Dariusz Krolikowski, Jacob Krüger, Thomas Leich, Frank Ortmeier

Open Access

Mock objects for testing java systems

Davide Spadini, Maurício Aniche, Magiel Bruntink, Alberto Bacchelli

Open Access

Classifying code comments in Java software systems

Luca Pascarella, Magiel Bruntink, Alberto Bacchelli

Cross-project code clones in GitHub

Mohammad Gharehyazie, Baishakhi Ray, Mehdi Keshani, Masoumeh Soleimani Zavosht, Abbas Heydarnoori, Vladimir Filkov

Open Access

Empowering OCL research: a large-scale corpus of open-source data from GitHub

Josh G. M. Mengerink, Jeroen Noten, Alexander Serebrenik

High-level software requirements and iteration changes: a predictive model

Kelly Blincoe, Ali Dehghan, Abdoul-Djawadou Salaou, Adam Neal, Johan Linaker, Daniela Damian