| Prem Devanbu | |
(but are you looking for the Painter Roma Devanbu ? or the Social Practice Artist Josephine Devanbu ? or the Design Engineer Frances Devanbu ? If you're looking for the Mridungam player, or the Evangelist, sorry you're on yer own ) |
 |
I am a Distinguished Research Professor on the
Faculty of the Computer
Science Department at the University of California at Davis. I work in
the areas of empirical software engineering, and Software Engineering applications of ML, and co-direct
the
DECAL Lab with
Vladimir Filkov
See my
academic vitae
for a summary, and/or my research
statement for more details.
consulting work.
My office is at Academic Surge 2079. I am a proudly helmeted bicycle commuter. |
I was elected ACM Fellow in 2018. A pleasure to join my wonderful
UC Davis colleagues
Dan Gusfield,
Nelson Max.
and
Kwan-liu Ma who have also been thus recognized.
I am deeply honored to be the winner of the
The 2021 ACM SIGSOFT Outstanding Research Award , (in 2022)
the
Humboldt Research Award
from the
Alexander von Humboldt Foundation in Germany, and (in 2024)
the IEEE Computer Society Harlan Mills Award
I have been very lucky to have wonderful graduate students, and mentees: such talented, accomplished, kind, and ethical people, all. Thanks to their achievements, I was awarded the
UC Davis Graduate Advising and Mentoring award in 2023
Journal Service:
I am pleased to serve as a Co-Chair (along with prof.
m. c. schraefel
)
of the Editorial Board of the
Communications of the ACM.
Previously have done hard time on the
Ed Board of several journals, including:
The Empirical Software Engineering Journal,
IEEE Transactions on Software Engineering,
ACM Transactions on Software Engineering and Methodology,
and the Journal of Software Maintenance and Evolution,
Research and Practice
I program-chaired
ACM SIGSOFT FSE in 2006 in Portland, OR;
since then,
I co-chaired the program for
ICSE 2010 in Cape Town, with
Seb Uchitel.
I was also the
General Chair for FSE 2020 , held virtually in Sacramento,
California, during the Pandemic.
Calibration and Correctness of Language Models, for Code
(ICSE 2025, Accepted)
pre-print
Automatic Semantic Augmentation of Language Model Prompts
(ICSE 2024)
pdf
Better patching using LLM prompting, via Self-Consistency
(ASE NIER 2023)
pdf
Large Language Models, and Simple, Stupid Bugs
(MSR 2023)
preprint
Extended Source Code Pre-Trained Language Models to Summarise Decompiled Binaries
(SANER 2023) Preprint pdf
SYNSHINE: improved fixing of Syntax Errors". (IEEE TSE 2022)
preprint pdf
Few-shot training VLLMs for project-specific code-summarization. (ASE New Ideas and Emerging Results, 2022) preprint)
NatGen: Generative Pre-Training by "Naturalizing" source code
ESEC/FSE 2022
Learning to Predict User-Defined Types
IEEE Transactions on Software Engineering
2022
pre print pdf
ManyTypes4TypeScript: A Comprehensive TypeScript Dataset
for Sequence-Based Type Inference
MSR 2022 Data Challenge
pre-print
Multi-lingual training for software engineering
ICSE
2022
pre print pdf
Finding Inlined Functions in Optimized Binaries
IEEE Transactions on Software Engineering
2021
pre print pdf
Learning Type Annotations: is Big Data Enough?
ESEC/FSE Visions and Reflections
2021
pre print pdf
Learning Lenient Parsing and Typing via Indirect Supervision
Springer-Verlag Empirical Software Engineering Journal
2021
pre print pdf
Do Programmers Prefer Predictable Expressions in
Code?
Cognitive Science 2020
pdf
Code to Comment "Translation": Data, Metrics, Baselining & Evaluation
Automated Software Engineering 2020
pdf
Patching as Translation: the Data vs. the Metaphor
Automated Software Engineering 2020
pdf
Does Surprisal Predict Code Comprehension Difficulty?
Presented at
Cognitive Science Society Conference 2020 pdf
A Theory of Dual-Channel Constraints
Proceedings ICSE NIER 2020 pdf
Status, Identity, and Language: A study of issue discussions
in GitHub
PLOS One Journal 2019
Whom are you going to call? determinants of @-mentions in Github discussions
Empirical Software Engineering Journal 2019
Test Coverage in Python Programs
MSR 2019
pdf
Studying the difference between Natural and Programming Language Corpora
Empirical Software Engineering Journal 2019
pdf
On the Naturalness of Proofs
Proceedings ESEC/FSE (NIER Track) 2018
pdf
A Survey of Machine Learning for Big Code and Naturalness
ACM Computing Surveys, 51(4) 2018
pdf
Mining Semantic Loop Idioms
IEEE Transactions on Software Engineering 2018 44(7)
pdf
Are Deep Neural Networks the Best Choice for Modeling Source Code
FSE 2017
pdf
Recovering Clear, Natural Identifiers from Obfuscated JS Names
FSE 2017
pdf
On the "Naturalness" of Buggy Code
ICSE 2016
pdf
Belief & Evidence in Empirical Software ENgineering
ICSE 2016
pdf
The Sky is Not the Limit: Multitasking Across GitHub Projects
ICSE 2016
pdf
Quality and Productivity Outcomes Relating to Continuous Integration in GitHub
FSE 2015
pdf
Developer Onboarding in GitHub: the Role of Prior Social Links and Language Experience
FSE 2015
pdf
CACHECA: A Cache Language Model Based Code Suggestion Tool.
ICSE 2015 Demonstration Track
pdf
Code
Gender and Tenure Diversity in Github Teams.
CHI 2015
pdf
Assert Use in GitHub Projects,
ICSE 2015
pdf
IMPORTANT, NOTE We replicated this study, using a different experimental methodology, and got different
results
short pdf of replication
A Large Scale Study of Programming Languages and Code Quality in Github.
The Version currently in ACM DL is out of date, and has been revised, see
this pdf version for errata/details.
On the Localness of Software
FSE 2014
pdf
Code
The Plastic Surgery Hypothesis
FSE 2014
Panning Requirement Nuggets in Stream of Software Maintenance Tickets
FSE 2014
Focus-Shifting Patterns of OSS Developers and Their Congruence with Call Graphs
FSE 2014
Comparing Static bug finders and Statistical defect prediction
ICSE 2014
pdf
DATA
How Social Q&A Sites are Changing Knowledge Sharing in Open Source Software Communities
CSCW 2014
Using and Asking: APIs Used in the Android Market and Asked About in StackOverflow
SocInfo2013
pdf
Sample Size vs. Bias in Defect Prediction,
ESEC/FSE 2013
pdf
Asking for (and about) Permissions Used by Android Apps
MSR 2013
Dual Ecological Measures of Focus in Software Development,
ICSE 2013
pdf
Winner, ACM SIGSOFT Distinguished Paper Award
How, and Why Process Metrics are Better,
ICSE 2013
pdf
To what extent could we detect field defects?
ASE 2012
pdf
When Would This Bug Get Reported? ,
ICSM 2012
pdf
MIC Check: A Correlation Tactic for ESE Data,
MSR 2012
pdf
On the "Naturalness" of software,
Appeared in ICSE 2012
pdf (Expanded Version!)
Recalling the Imprecision of Cross-Project Defect Prediction>
Appeared in FSE 2012,
pdf
Cohesive and Isolated Development with Branches,
Appeared in FASE 2012
Clones: what is that smell?
l Journal on Empirical Software Engineering,
pdf
Got Issues? Do New Features and Code Improvements Affect Defects?
WCRE 11
pdf
Ecological Inference in Empirical Software Engineering
ASE 2011
pdf
Winner, ACM SIGSOFT Distinguished Paper and ASE 2011 Best Paper Awards.
BugCache for Inspections : Hit or Miss?
SIGSOFT FSE 2011
pdf Nominee, ACM Distinguished Paper Award.
Don't Touch My Code! Examining the Effects of Ownership on Software Quality
SIGSOFT FSE 2011
pdf
A Simpler model of software readability
MSR 2011
pdf
Operating System Compatibility Analysis of Eclipse and Netbeans Based on Bug Data
MSR 2011 Mining Challenge
Ownership, Experience and Defects: a fine-grained study of Authorship
ICSE 2011
pdf
An Empirical Study on the Influence of Pattern Roles on Change-Proneness
Empirical Software Engineering Journal
Springer-Verlag, 2011.
pdf
The missing links: bugs and bug-fix commits
SIGSOFT FSE 2010
pdf
Validity of Network Analyses in Open Source Projects.
MSR 2010
pdf
Clones: What is that Smell?
MSR 2010
pdf
Winner, Best Paper Award, MSR 2010
Thex: Mining Metapatterns in Java.
MSR 2010
pdf
Does Distributed Development Affect Software Quality?
An Empirical Case Study of Windows Vista,
Research Highlights, CACM, August, 2009. Revised version of ICSE 2009 paper (see below).
Putting it All Together: Using Socio-Technical Networks to Predict Failures
ISSRE 2009.
Fair and Balanced? Bias in bug-fix Datasets"
SIGSOFT FSE 2009
pdf
Promises and Perils of Mining Git
MSR 2009
pdf
Modeling and verifying a broad array of network properties
Europhysics Letters (EPL), 2009
pdf
Does Distributed Development Affect Software Quality? An Empirical Case Study
of Windows Vista,
ICSE 2009
pdf
Winner, ACM SIGSOFT Distinguished paper award
Structure and Dynamics of Research Collaboration in Computer Science
SIAM International Conference on Data Mining 2009 pdf
Instant Multi-Tier Web Applications without Tears.
Indian Software Engineering Conference 2009 (acceptance rate 13%)
pdf
Community Structure in Open-source Developer Social networks.
ACM SIGSOFT FSE 2008 pdf
Scalable, Flexible
Peephole Pretty-Printing. Science of Computer Programming
2008. The
pdf
Recommending Random Walks
( SIGSOFT FSE 2007 pdf )
Nominee, ACM SIGSOFT Distinguished paper award
Immigration
in Open Source projects. (MSR 2007
pdf )
Aspect-oriented Layer Bypassing in Middleware ( AOSD 2007
pdf)
Mining Email Social Networks MSR 2006
pdf
Static checking of dynamically generated queries in database applications
( ICSE 2004 pdf).
Winner, ACM SIGSOFT Distinguished
paper
award. Dynamically Negotiating QoS Features: The GlueQoS Project (
ICSE
2004 pdf)
Text visualizations at interactive speeds: Peephole
Pretty-Printing (Project page)Distributed adaptations for distributed objects: The DADO project
( ICSE 2003 pdf).
Nominee, ACM SIGSOFT
Distinguished Paper
award.) ECS
30, Introduction to Programming and Problem Solving ECS
160, Undergraduate Software Engineering ECS
260 Graduate Software Engineering. ECS 289
Graduate Seminar in Open Source Software Engineering I'm very lucky to have some great graduate students and Post-Docs. I started off in Industrial software development, first at Perkin-Elmer; then I worked at Bell Labs, first in software development and then in research, at Murray Hill, NJ; with the big travestyture, I went to AT&T Labs Research in Florham Park. I have been at UC Davis since late 1997. My undergraduate education was at IIT, Madras in India; my doctoral work was done under Prof. Borgida at Rutgers University in the Garden State, which is a lovely place, actually; although the Golden State also has much to offer .
