TuneR: a framework for tuning software engineering tools with hands-on instructions in R-Reference-Cited by-同舟云学术

TuneR: a framework for tuning software engineering tools with hands-on instructions in R

Published:2016-05-03 Issue:6 Volume:28 Page:427-459
ISSN:2047-7473
Container-title:Journal of Software: Evolution and Process
language:en
Short-container-title:J. Softw. Evol. and Proc.

Author:

Borg Markus¹²

Affiliation:

1. Software and Systems Engineering Laboratory; SICS Swedish ICT AB; Lund Sweden

2. Department of Computer Science; Lund University; Lund Sweden

Funder

the Industrial Excellence Center EASE - Embedded Applications Software Engineering

Publisher

Wiley

Subject

Software

Reference92 articles.

1. Fraser G Arcuri A EvoSuite: automatic test suite generation for object-oriented software Proc. of the 19th ACM SIGSOFT Symposium and the 13th European Conference on Foundations of Software Engineering 2011 416 419

2. Using static analysis to find bugs;Ayewah;IEEE Software,2008

3. Kersten M Murphy G Using task context to improve programmer productivity Proc. of the 14th International Symposium on Foundations of Software Engineering 2006 1 11

4. Baz M Hunsaker B Brooks P Gosavi A Automated tuning of optimization software parameters Technical Report 2007

5. Lavesson N Davidsson P Quantifying the impact of learning algorithm parameter tuning Proc. of the 21st National Conference on Artificial Intelligence 2006 395 400

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