PROMISE '22: "Identifying Security-Related ..."
Identifying Security-Related Requirements in Regulatory Documents Based on Cross-Project Classification
Mazen Mohamad, Jan-Philipp Steghöfer, Alexander Åström, and Riccardo Scandariato
(Chalmers University of Technology, Sweden; University of Gothenburg, Sweden; Xitaso, Germany; Comentor, Sweden; Hamburg University of Technology, Germany)
@InProceedings{PROMISE22p91,
author = {Mazen Mohamad and Jan-Philipp Steghöfer and Alexander Åström and Riccardo Scandariato},
title = {Identifying Security-Related Requirements in Regulatory Documents Based on Cross-Project Classification},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {91-90},
doi = {10.1145/3558489.3559074},
year = {2022},
}
Publisher's Version
PROMISE '22: "Release Engineering in the ..."
Release Engineering in the AI World: How Can Analytics Help? (Keynote)
Bram Adams
(Queen’s University, Canada)
@InProceedings{PROMISE22p1,
author = {Bram Adams},
title = {Release Engineering in the AI World: How Can Analytics Help? (Keynote)},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {1-0},
doi = {10.1145/3558489.3570199},
year = {2022},
}
Publisher's Version
PROMISE '22: "LOGI: An Empirical Model of ..."
LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery
Hammad Ahmad, Colton Holoday, Ian Bertram, Kevin Angstadt, Zohreh Sharafi, and Westley Weimer
(University of Michigan, USA; MathWorks, USA; St. Lawrence University, USA; Polytechnique Montréal, Canada)
@InProceedings{PROMISE22p61,
author = {Hammad Ahmad and Colton Holoday and Ian Bertram and Kevin Angstadt and Zohreh Sharafi and Westley Weimer},
title = {LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {61-60},
doi = {10.1145/3558489.3559071},
year = {2022},
}
Publisher's Version
PROMISE '22: "Improving the Performance ..."
Improving the Performance of Code Vulnerability Prediction using Abstract Syntax Tree Information
Fahad Al Debeyan, Tracy Hall, and David Bowes
(Lancaster University, UK)
@InProceedings{PROMISE22p11,
author = {Fahad Al Debeyan and Tracy Hall and David Bowes},
title = {Improving the Performance of Code Vulnerability Prediction using Abstract Syntax Tree Information},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {11-10},
doi = {10.1145/3558489.3559066},
year = {2022},
}
Publisher's Version
Published Artifact
Artifacts Available
PROMISE '22: "Predicting Build Outcomes ..."
Predicting Build Outcomes in Continuous Integration using Textual Analysis of Source Code Commits
Khaled Al-Sabbagh, Miroslaw Staron, and Regina Hebig
(Chalmers University of Technology, Sweden; University of Gothenburg, Sweden)
@InProceedings{PROMISE22p51,
author = {Khaled Al-Sabbagh and Miroslaw Staron and Regina Hebig},
title = {Predicting Build Outcomes in Continuous Integration using Textual Analysis of Source Code Commits},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {51-50},
doi = {10.1145/3558489.3559070},
year = {2022},
}
Publisher's Version
PROMISE '22: "LOGI: An Empirical Model of ..."
LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery
Hammad Ahmad, Colton Holoday, Ian Bertram, Kevin Angstadt, Zohreh Sharafi, and Westley Weimer
(University of Michigan, USA; MathWorks, USA; St. Lawrence University, USA; Polytechnique Montréal, Canada)
@InProceedings{PROMISE22p61,
author = {Hammad Ahmad and Colton Holoday and Ian Bertram and Kevin Angstadt and Zohreh Sharafi and Westley Weimer},
title = {LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {61-60},
doi = {10.1145/3558489.3559071},
year = {2022},
}
Publisher's Version
PROMISE '22: "LOGI: An Empirical Model of ..."
LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery
Hammad Ahmad, Colton Holoday, Ian Bertram, Kevin Angstadt, Zohreh Sharafi, and Westley Weimer
(University of Michigan, USA; MathWorks, USA; St. Lawrence University, USA; Polytechnique Montréal, Canada)
@InProceedings{PROMISE22p61,
author = {Hammad Ahmad and Colton Holoday and Ian Bertram and Kevin Angstadt and Zohreh Sharafi and Westley Weimer},
title = {LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {61-60},
doi = {10.1145/3558489.3559071},
year = {2022},
}
Publisher's Version
PROMISE '22: "Feature Sets in Just-in-Time ..."
Feature Sets in Just-in-Time Defect Prediction: An Empirical Evaluation
Peter Bludau and Alexander Pretschner
(fortiss, Germany; TU Munich, Germany)
@InProceedings{PROMISE22p31,
author = {Peter Bludau and Alexander Pretschner},
title = {Feature Sets in Just-in-Time Defect Prediction: An Empirical Evaluation},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {31-30},
doi = {10.1145/3558489.3559068},
year = {2022},
}
Publisher's Version
Published Artifact
Artifacts Available
PROMISE '22: "Improving the Performance ..."
Improving the Performance of Code Vulnerability Prediction using Abstract Syntax Tree Information
Fahad Al Debeyan, Tracy Hall, and David Bowes
(Lancaster University, UK)
@InProceedings{PROMISE22p11,
author = {Fahad Al Debeyan and Tracy Hall and David Bowes},
title = {Improving the Performance of Code Vulnerability Prediction using Abstract Syntax Tree Information},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {11-10},
doi = {10.1145/3558489.3559066},
year = {2022},
}
Publisher's Version
Published Artifact
Artifacts Available
PROMISE '22: "API + Code = Better Code Summary? ..."
API + Code = Better Code Summary? Insights from an Exploratory Study
Prantik Parashar Sarmah and Sridhar Chimalakonda
(IIT Tirupati, India)
@InProceedings{PROMISE22p101,
author = {Prantik Parashar Sarmah and Sridhar Chimalakonda},
title = {API + Code = Better Code Summary? Insights from an Exploratory Study},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {101-100},
doi = {10.1145/3558489.3559075},
year = {2022},
}
Publisher's Version
PROMISE '22: "Profiling Developers to Predict ..."
Profiling Developers to Predict Vulnerable Code Changes
Tugce Coskun, Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Pinar Comak De Cnudde, and Ayse Tosun
(Istanbul Technical University, Turkey; Ericsson Security Research, Turkey)
@InProceedings{PROMISE22p41,
author = {Tugce Coskun and Rusen Halepmollasi and Khadija Hanifi and Ramin Fadaei Fouladi and Pinar Comak De Cnudde and Ayse Tosun},
title = {Profiling Developers to Predict Vulnerable Code Changes},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {41-40},
doi = {10.1145/3558489.3559069},
year = {2022},
}
Publisher's Version
PROMISE '22: "Profiling Developers to Predict ..."
Profiling Developers to Predict Vulnerable Code Changes
Tugce Coskun, Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Pinar Comak De Cnudde, and Ayse Tosun
(Istanbul Technical University, Turkey; Ericsson Security Research, Turkey)
@InProceedings{PROMISE22p41,
author = {Tugce Coskun and Rusen Halepmollasi and Khadija Hanifi and Ramin Fadaei Fouladi and Pinar Comak De Cnudde and Ayse Tosun},
title = {Profiling Developers to Predict Vulnerable Code Changes},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {41-40},
doi = {10.1145/3558489.3559069},
year = {2022},
}
Publisher's Version
PROMISE '22: "Measuring Design Compliance ..."
Measuring Design Compliance using Neural Language Models: An Automotive Case Study
Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri, Jiapeng Sun, and Panagiotis Moraitis
(Volvo, Sweden; Chalmers University of Technology, Sweden)
@InProceedings{PROMISE22p21,
author = {Dhasarathy Parthasarathy and Cecilia Ekelin and Anjali Karri and Jiapeng Sun and Panagiotis Moraitis},
title = {Measuring Design Compliance using Neural Language Models: An Automotive Case Study},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {21-20},
doi = {10.1145/3558489.3559067},
year = {2022},
}
Publisher's Version
PROMISE '22: "Profiling Developers to Predict ..."
Profiling Developers to Predict Vulnerable Code Changes
Tugce Coskun, Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Pinar Comak De Cnudde, and Ayse Tosun
(Istanbul Technical University, Turkey; Ericsson Security Research, Turkey)
@InProceedings{PROMISE22p41,
author = {Tugce Coskun and Rusen Halepmollasi and Khadija Hanifi and Ramin Fadaei Fouladi and Pinar Comak De Cnudde and Ayse Tosun},
title = {Profiling Developers to Predict Vulnerable Code Changes},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {41-40},
doi = {10.1145/3558489.3559069},
year = {2022},
}
Publisher's Version
PROMISE '22: "Profiling Developers to Predict ..."
Profiling Developers to Predict Vulnerable Code Changes
Tugce Coskun, Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Pinar Comak De Cnudde, and Ayse Tosun
(Istanbul Technical University, Turkey; Ericsson Security Research, Turkey)
@InProceedings{PROMISE22p41,
author = {Tugce Coskun and Rusen Halepmollasi and Khadija Hanifi and Ramin Fadaei Fouladi and Pinar Comak De Cnudde and Ayse Tosun},
title = {Profiling Developers to Predict Vulnerable Code Changes},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {41-40},
doi = {10.1145/3558489.3559069},
year = {2022},
}
Publisher's Version
PROMISE '22: "Improving the Performance ..."
Improving the Performance of Code Vulnerability Prediction using Abstract Syntax Tree Information
Fahad Al Debeyan, Tracy Hall, and David Bowes
(Lancaster University, UK)
@InProceedings{PROMISE22p11,
author = {Fahad Al Debeyan and Tracy Hall and David Bowes},
title = {Improving the Performance of Code Vulnerability Prediction using Abstract Syntax Tree Information},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {11-10},
doi = {10.1145/3558489.3559066},
year = {2022},
}
Publisher's Version
Published Artifact
Artifacts Available
PROMISE '22: "Profiling Developers to Predict ..."
Profiling Developers to Predict Vulnerable Code Changes
Tugce Coskun, Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Pinar Comak De Cnudde, and Ayse Tosun
(Istanbul Technical University, Turkey; Ericsson Security Research, Turkey)
@InProceedings{PROMISE22p41,
author = {Tugce Coskun and Rusen Halepmollasi and Khadija Hanifi and Ramin Fadaei Fouladi and Pinar Comak De Cnudde and Ayse Tosun},
title = {Profiling Developers to Predict Vulnerable Code Changes},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {41-40},
doi = {10.1145/3558489.3559069},
year = {2022},
}
Publisher's Version
PROMISE '22: "Predicting Build Outcomes ..."
Predicting Build Outcomes in Continuous Integration using Textual Analysis of Source Code Commits
Khaled Al-Sabbagh, Miroslaw Staron, and Regina Hebig
(Chalmers University of Technology, Sweden; University of Gothenburg, Sweden)
@InProceedings{PROMISE22p51,
author = {Khaled Al-Sabbagh and Miroslaw Staron and Regina Hebig},
title = {Predicting Build Outcomes in Continuous Integration using Textual Analysis of Source Code Commits},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {51-50},
doi = {10.1145/3558489.3559070},
year = {2022},
}
Publisher's Version
PROMISE '22: "LOGI: An Empirical Model of ..."
LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery
Hammad Ahmad, Colton Holoday, Ian Bertram, Kevin Angstadt, Zohreh Sharafi, and Westley Weimer
(University of Michigan, USA; MathWorks, USA; St. Lawrence University, USA; Polytechnique Montréal, Canada)
@InProceedings{PROMISE22p61,
author = {Hammad Ahmad and Colton Holoday and Ian Bertram and Kevin Angstadt and Zohreh Sharafi and Westley Weimer},
title = {LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {61-60},
doi = {10.1145/3558489.3559071},
year = {2022},
}
Publisher's Version
PROMISE '22: "On the Effectiveness of Data ..."
On the Effectiveness of Data Balancing Techniques in the Context of ML-Based Test Case Prioritization
Jediael Mendoza, Jason Mycroft, Lyam Milbury, Nafiseh Kahani, and Jason Jaskolka
(Carleton University, Canada)
@InProceedings{PROMISE22p81,
author = {Jediael Mendoza and Jason Mycroft and Lyam Milbury and Nafiseh Kahani and Jason Jaskolka},
title = {On the Effectiveness of Data Balancing Techniques in the Context of ML-Based Test Case Prioritization},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {81-80},
doi = {10.1145/3558489.3559073},
year = {2022},
}
Publisher's Version
PROMISE '22: "On the Effectiveness of Data ..."
On the Effectiveness of Data Balancing Techniques in the Context of ML-Based Test Case Prioritization
Jediael Mendoza, Jason Mycroft, Lyam Milbury, Nafiseh Kahani, and Jason Jaskolka
(Carleton University, Canada)
@InProceedings{PROMISE22p81,
author = {Jediael Mendoza and Jason Mycroft and Lyam Milbury and Nafiseh Kahani and Jason Jaskolka},
title = {On the Effectiveness of Data Balancing Techniques in the Context of ML-Based Test Case Prioritization},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {81-80},
doi = {10.1145/3558489.3559073},
year = {2022},
}
Publisher's Version
PROMISE '22: "Measuring Design Compliance ..."
Measuring Design Compliance using Neural Language Models: An Automotive Case Study
Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri, Jiapeng Sun, and Panagiotis Moraitis
(Volvo, Sweden; Chalmers University of Technology, Sweden)
@InProceedings{PROMISE22p21,
author = {Dhasarathy Parthasarathy and Cecilia Ekelin and Anjali Karri and Jiapeng Sun and Panagiotis Moraitis},
title = {Measuring Design Compliance using Neural Language Models: An Automotive Case Study},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {21-20},
doi = {10.1145/3558489.3559067},
year = {2022},
}
Publisher's Version
PROMISE '22: "On the Effectiveness of Data ..."
On the Effectiveness of Data Balancing Techniques in the Context of ML-Based Test Case Prioritization
Jediael Mendoza, Jason Mycroft, Lyam Milbury, Nafiseh Kahani, and Jason Jaskolka
(Carleton University, Canada)
@InProceedings{PROMISE22p81,
author = {Jediael Mendoza and Jason Mycroft and Lyam Milbury and Nafiseh Kahani and Jason Jaskolka},
title = {On the Effectiveness of Data Balancing Techniques in the Context of ML-Based Test Case Prioritization},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {81-80},
doi = {10.1145/3558489.3559073},
year = {2022},
}
Publisher's Version
PROMISE '22: "On the Effectiveness of Data ..."
On the Effectiveness of Data Balancing Techniques in the Context of ML-Based Test Case Prioritization
Jediael Mendoza, Jason Mycroft, Lyam Milbury, Nafiseh Kahani, and Jason Jaskolka
(Carleton University, Canada)
@InProceedings{PROMISE22p81,
author = {Jediael Mendoza and Jason Mycroft and Lyam Milbury and Nafiseh Kahani and Jason Jaskolka},
title = {On the Effectiveness of Data Balancing Techniques in the Context of ML-Based Test Case Prioritization},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {81-80},
doi = {10.1145/3558489.3559073},
year = {2022},
}
Publisher's Version
PROMISE '22: "Identifying Security-Related ..."
Identifying Security-Related Requirements in Regulatory Documents Based on Cross-Project Classification
Mazen Mohamad, Jan-Philipp Steghöfer, Alexander Åström, and Riccardo Scandariato
(Chalmers University of Technology, Sweden; University of Gothenburg, Sweden; Xitaso, Germany; Comentor, Sweden; Hamburg University of Technology, Germany)
@InProceedings{PROMISE22p91,
author = {Mazen Mohamad and Jan-Philipp Steghöfer and Alexander Åström and Riccardo Scandariato},
title = {Identifying Security-Related Requirements in Regulatory Documents Based on Cross-Project Classification},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {91-90},
doi = {10.1145/3558489.3559074},
year = {2022},
}
Publisher's Version
PROMISE '22: "Measuring Design Compliance ..."
Measuring Design Compliance using Neural Language Models: An Automotive Case Study
Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri, Jiapeng Sun, and Panagiotis Moraitis
(Volvo, Sweden; Chalmers University of Technology, Sweden)
@InProceedings{PROMISE22p21,
author = {Dhasarathy Parthasarathy and Cecilia Ekelin and Anjali Karri and Jiapeng Sun and Panagiotis Moraitis},
title = {Measuring Design Compliance using Neural Language Models: An Automotive Case Study},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {21-20},
doi = {10.1145/3558489.3559067},
year = {2022},
}
Publisher's Version
PROMISE '22: "On the Effectiveness of Data ..."
On the Effectiveness of Data Balancing Techniques in the Context of ML-Based Test Case Prioritization
Jediael Mendoza, Jason Mycroft, Lyam Milbury, Nafiseh Kahani, and Jason Jaskolka
(Carleton University, Canada)
@InProceedings{PROMISE22p81,
author = {Jediael Mendoza and Jason Mycroft and Lyam Milbury and Nafiseh Kahani and Jason Jaskolka},
title = {On the Effectiveness of Data Balancing Techniques in the Context of ML-Based Test Case Prioritization},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {81-80},
doi = {10.1145/3558489.3559073},
year = {2022},
}
Publisher's Version
PROMISE '22: "Assessing the Quality of GitHub ..."
Assessing the Quality of GitHub Copilot’s Code Generation
Burak Yetistiren, Isik Ozsoy, and Eray Tuzun
(Bilkent University, Turkey)
@InProceedings{PROMISE22p71,
author = {Burak Yetistiren and Isik Ozsoy and Eray Tuzun},
title = {Assessing the Quality of GitHub Copilot’s Code Generation},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {71-70},
doi = {10.1145/3558489.3559072},
year = {2022},
}
Publisher's Version
PROMISE '22: "Measuring Design Compliance ..."
Measuring Design Compliance using Neural Language Models: An Automotive Case Study
Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri, Jiapeng Sun, and Panagiotis Moraitis
(Volvo, Sweden; Chalmers University of Technology, Sweden)
@InProceedings{PROMISE22p21,
author = {Dhasarathy Parthasarathy and Cecilia Ekelin and Anjali Karri and Jiapeng Sun and Panagiotis Moraitis},
title = {Measuring Design Compliance using Neural Language Models: An Automotive Case Study},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {21-20},
doi = {10.1145/3558489.3559067},
year = {2022},
}
Publisher's Version
PROMISE '22: "Feature Sets in Just-in-Time ..."
Feature Sets in Just-in-Time Defect Prediction: An Empirical Evaluation
Peter Bludau and Alexander Pretschner
(fortiss, Germany; TU Munich, Germany)
@InProceedings{PROMISE22p31,
author = {Peter Bludau and Alexander Pretschner},
title = {Feature Sets in Just-in-Time Defect Prediction: An Empirical Evaluation},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {31-30},
doi = {10.1145/3558489.3559068},
year = {2022},
}
Publisher's Version
Published Artifact
Artifacts Available
PROMISE '22: "API + Code = Better Code Summary? ..."
API + Code = Better Code Summary? Insights from an Exploratory Study
Prantik Parashar Sarmah and Sridhar Chimalakonda
(IIT Tirupati, India)
@InProceedings{PROMISE22p101,
author = {Prantik Parashar Sarmah and Sridhar Chimalakonda},
title = {API + Code = Better Code Summary? Insights from an Exploratory Study},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {101-100},
doi = {10.1145/3558489.3559075},
year = {2022},
}
Publisher's Version
PROMISE '22: "Identifying Security-Related ..."
Identifying Security-Related Requirements in Regulatory Documents Based on Cross-Project Classification
Mazen Mohamad, Jan-Philipp Steghöfer, Alexander Åström, and Riccardo Scandariato
(Chalmers University of Technology, Sweden; University of Gothenburg, Sweden; Xitaso, Germany; Comentor, Sweden; Hamburg University of Technology, Germany)
@InProceedings{PROMISE22p91,
author = {Mazen Mohamad and Jan-Philipp Steghöfer and Alexander Åström and Riccardo Scandariato},
title = {Identifying Security-Related Requirements in Regulatory Documents Based on Cross-Project Classification},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {91-90},
doi = {10.1145/3558489.3559074},
year = {2022},
}
Publisher's Version
PROMISE '22: "LOGI: An Empirical Model of ..."
LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery
Hammad Ahmad, Colton Holoday, Ian Bertram, Kevin Angstadt, Zohreh Sharafi, and Westley Weimer
(University of Michigan, USA; MathWorks, USA; St. Lawrence University, USA; Polytechnique Montréal, Canada)
@InProceedings{PROMISE22p61,
author = {Hammad Ahmad and Colton Holoday and Ian Bertram and Kevin Angstadt and Zohreh Sharafi and Westley Weimer},
title = {LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {61-60},
doi = {10.1145/3558489.3559071},
year = {2022},
}
Publisher's Version
PROMISE '22: "Predicting Build Outcomes ..."
Predicting Build Outcomes in Continuous Integration using Textual Analysis of Source Code Commits
Khaled Al-Sabbagh, Miroslaw Staron, and Regina Hebig
(Chalmers University of Technology, Sweden; University of Gothenburg, Sweden)
@InProceedings{PROMISE22p51,
author = {Khaled Al-Sabbagh and Miroslaw Staron and Regina Hebig},
title = {Predicting Build Outcomes in Continuous Integration using Textual Analysis of Source Code Commits},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {51-50},
doi = {10.1145/3558489.3559070},
year = {2022},
}
Publisher's Version
PROMISE '22: "Identifying Security-Related ..."
Identifying Security-Related Requirements in Regulatory Documents Based on Cross-Project Classification
Mazen Mohamad, Jan-Philipp Steghöfer, Alexander Åström, and Riccardo Scandariato
(Chalmers University of Technology, Sweden; University of Gothenburg, Sweden; Xitaso, Germany; Comentor, Sweden; Hamburg University of Technology, Germany)
@InProceedings{PROMISE22p91,
author = {Mazen Mohamad and Jan-Philipp Steghöfer and Alexander Åström and Riccardo Scandariato},
title = {Identifying Security-Related Requirements in Regulatory Documents Based on Cross-Project Classification},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {91-90},
doi = {10.1145/3558489.3559074},
year = {2022},
}
Publisher's Version
PROMISE '22: "Measuring Design Compliance ..."
Measuring Design Compliance using Neural Language Models: An Automotive Case Study
Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri, Jiapeng Sun, and Panagiotis Moraitis
(Volvo, Sweden; Chalmers University of Technology, Sweden)
@InProceedings{PROMISE22p21,
author = {Dhasarathy Parthasarathy and Cecilia Ekelin and Anjali Karri and Jiapeng Sun and Panagiotis Moraitis},
title = {Measuring Design Compliance using Neural Language Models: An Automotive Case Study},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {21-20},
doi = {10.1145/3558489.3559067},
year = {2022},
}
Publisher's Version
PROMISE '22: "Profiling Developers to Predict ..."
Profiling Developers to Predict Vulnerable Code Changes
Tugce Coskun, Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Pinar Comak De Cnudde, and Ayse Tosun
(Istanbul Technical University, Turkey; Ericsson Security Research, Turkey)
@InProceedings{PROMISE22p41,
author = {Tugce Coskun and Rusen Halepmollasi and Khadija Hanifi and Ramin Fadaei Fouladi and Pinar Comak De Cnudde and Ayse Tosun},
title = {Profiling Developers to Predict Vulnerable Code Changes},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {41-40},
doi = {10.1145/3558489.3559069},
year = {2022},
}
Publisher's Version
PROMISE '22: "Assessing the Quality of GitHub ..."
Assessing the Quality of GitHub Copilot’s Code Generation
Burak Yetistiren, Isik Ozsoy, and Eray Tuzun
(Bilkent University, Turkey)
@InProceedings{PROMISE22p71,
author = {Burak Yetistiren and Isik Ozsoy and Eray Tuzun},
title = {Assessing the Quality of GitHub Copilot’s Code Generation},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {71-70},
doi = {10.1145/3558489.3559072},
year = {2022},
}
Publisher's Version
PROMISE '22: "LOGI: An Empirical Model of ..."
LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery
Hammad Ahmad, Colton Holoday, Ian Bertram, Kevin Angstadt, Zohreh Sharafi, and Westley Weimer
(University of Michigan, USA; MathWorks, USA; St. Lawrence University, USA; Polytechnique Montréal, Canada)
@InProceedings{PROMISE22p61,
author = {Hammad Ahmad and Colton Holoday and Ian Bertram and Kevin Angstadt and Zohreh Sharafi and Westley Weimer},
title = {LOGI: An Empirical Model of Heat-Induced Disk Drive Data Loss and Its Implications for Data Recovery},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {61-60},
doi = {10.1145/3558489.3559071},
year = {2022},
}
Publisher's Version
PROMISE '22: "Assessing the Quality of GitHub ..."
Assessing the Quality of GitHub Copilot’s Code Generation
Burak Yetistiren, Isik Ozsoy, and Eray Tuzun
(Bilkent University, Turkey)
@InProceedings{PROMISE22p71,
author = {Burak Yetistiren and Isik Ozsoy and Eray Tuzun},
title = {Assessing the Quality of GitHub Copilot’s Code Generation},
booktitle = {Proc.\ PROMISE},
publisher = {ACM},
pages = {71-70},
doi = {10.1145/3558489.3559072},
year = {2022},
}
Publisher's Version