Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Joshua Charles Campbell"'
Autor:
Joshua Charles Campbell, Dhvani Patel, José Nelson Amaral, Eddie Antonio Santos, Abram Hindle
Publikováno v:
SANER
Syntax errors are made by novice and experienced programmers alike; however, novice programmers lack the years of experience that help them quickly resolve these frustrating errors. Standard LR parsers are of little help, typically resolving syntax e
Minor syntax errors are made by novice and experienced programmers alike; however, novice programmers lack the years of intuition that help them resolve these tiny errors. Standard LR parsers typically resolve syntax errors and their precise location
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e741f5a98b4dbb07ec85cf6db333a08
This work investigates the properties of crash reports collected from Ubuntu Linux users. Understanding crash reports is important to better store, categorize, prioritize, parse, triage, assign bugs to, and potentially synthesize them. Understanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57a93e921bae449387b9e0c059060ebe
Publikováno v:
MSR
Organizations like Mozilla, Microsoft, and Apple are flooded with thousands of automated crash reports per day. Although crash reports contain valuable information for debugging, there are often too many for developers to examine individually. Theref
Autor:
Joshua Charles Campbell, Abram Hindle
The intent of high test coverage is to ensure that the dark nooks and crannies of code are exercised and tested. In a language like Python this is especially important as syntax errors can lurk in unevaluated blocks, only to be discovered once they a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f8a9710dc74655850b4e13d8da7cab8
https://doi.org/10.7287/peerj.preprints.1138v2
https://doi.org/10.7287/peerj.preprints.1138v2
Autor:
Alberto Bacchelli, Olga Baysal, Ayse Bener, Christian Bird, Aditya Budi, Bora Caglayan, Gul Calikli, Joshua Charles Campbell, Jacek Czerwonka, Kostadin Damevski, Madeline Diep, Robert Dyer, Linda Esker, Davide Falessi, Xavier Franch, Thomas Fritz, Nikolas Galanis, Marco Aurélio Gerosa, Ruediger Glott, Michael W. Godfrey, Alessandra Gorla, Georgios Gousios, Florian Groß, Randy Hackbarth, Abram Hindle, Reid Holmes, Lingxiao Jiang, Ron S. Kenett, Ekrem Kocaguneli, Oleksii Kononenko, Kostas Kontogiannis, Konstantin Kuznetsov, Lucas Layman, Christian Lindig, David Lo, Fabio Mancinelli, Serge Mankovskii, Shahar Maoz, Daniel Méndez Fernández, Andrew Meneely, Tim Menzies, Audris Mockus, Murtuza Mukadam, Brendan Murphy, Emerson Murphy-Hill, John Mylopoulos, Anil R. Nair, Maleknaz Nayebi, Hoan Nguyen, Tien Nguyen, Gustavo Ansaldi Oliva, John Palframan, Hridesh Rajan, Peter C. Rigby, Guenther Ruhe, Michele Shaw, David Shepherd, Forrest Shull, Will Snipes, Diomidis Spinellis, Eleni Stroulia, Angelo Susi, Lin Tan, Ilaria Tavecchia, Ayse Tosun Misirli, Mohsen Vakilian, Stefan Wagner, Shaowei Wang, David Weiss, Laurie Williams, Hamzeh Zawawy, Andreas Zeller, Thomas Zimmermann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b51af2c0e746b4cf1a09c9777a5212ff
https://doi.org/10.1016/b978-0-12-411519-4.09994-8
https://doi.org/10.1016/b978-0-12-411519-4.09994-8
Publikováno v:
The Art and Science of Analyzing Software Data
Topic analysis is a powerful tool that extracts “topics” from document collections. Unlike manual tagging, which is effort intensive and requires expertise in the documents’ subject matter, topic analysis (in its simplest form) is an automated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::094dfe400ec33a4732c103e893cb6d13
https://doi.org/10.1016/b978-0-12-411519-4.00006-9
https://doi.org/10.1016/b978-0-12-411519-4.00006-9
Publikováno v:
MSR
A frustrating aspect of software development is that compiler error messages often fail to locate the actual cause of a syntax error. An errant semicolon or brace can result in many errors reported throughout the file. We seek to find the actual sour
Autor:
Abram Hindle, Alex Wilson, E. Jed Barlow, Joshua Charles Campbell, Kent Rasmussen, Stephen Romansky
Publikováno v:
MSR
Green Mining is a field of MSR that studies software energy consumption and relies on software performance data. Unfortunately there is a severe lack of publicly available software power use performance data. This means that green mining researchers
Publikováno v:
MSR
A project's documentation is the primary source of information for developers using that project. With hundreds of thousands of programming-related questions posted on programming Q&A websites, such as Stack Overflow, we question whether the develope