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Empirical Software Engineering

Ausgabe 5/2018

This issue includes a Special Issue on Automatic Software Repair

Inhalt (17 Artikel)

Open Access

Large-scale agile transformation at Ericsson: a case study

Maria Paasivaara, Benjamin Behm, Casper Lassenius, Minna Hallikainen

Augmenting and structuring user queries to support efficient free-form code search

Raphael Sirres, Tegawendé F. Bissyandé, Dongsun Kim, David Lo, Jacques Klein, Kisub Kim, Yves Le Traon

Studying software logging using topic models

Heng Li, Tse-Hsun (Peter) Chen, Weiyi Shang, Ahmed E. Hassan

Do software models based on the UML aid in source-code comprehensibility? Aggregating evidence from 12 controlled experiments

Giuseppe Scanniello, Carmine Gravino, Marcela Genero, José A. Cruz-Lemus, Genoveffa Tortora, Michele Risi, Gabriella Dodero

App store mining is not enough for app improvement

Maleknaz Nayebi, Henry Cho, Guenther Ruhe

Does syntax highlighting help programming novices?

Christoph Hannebauer, Marc Hesenius, Volker Gruhn

Getting the most from map data structures in Android

Rubén Saborido, Rodrigo Morales, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol

ChangeLocator: locate crash-inducing changes based on crash reports

Rongxin Wu, Ming Wen, Shing-Chi Cheung, Hongyu Zhang

Do automated program repair techniques repair hard and important bugs?

Manish Motwani, Sandhya Sankaranarayanan, René Just, Yuriy Brun

A correlation study between automated program repair and test-suite metrics

Jooyong Yi, Shin Hwei Tan, Sergey Mechtaev, Marcel Böhme, Abhik Roychoudhury

Improved representation and genetic operators for linear genetic programming for automated program repair

Vinicius Paulo L. Oliveira, Eduardo Faria de Souza, Claire Le Goues, Celso G. Camilo-Junior

Overfitting in semantics-based automated program repair

Xuan Bach D. Le, Ferdian Thung, David Lo, Claire Le Goues

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