Premkumar Devanbu
E416849
Premkumar Devanbu is a prominent computer scientist known for his influential research in software engineering, particularly in mining software repositories and applying statistical and data-driven methods to software development.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Premkumar Devanbu canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4177252 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Premkumar Devanbu Context triple: [ACM SIGSOFT Outstanding Research Award, hasRecipient, Premkumar Devanbu]
-
A.
Laxman Narasimhan
Laxman Narasimhan is an Indian-American business executive best known as the chief executive officer of Starbucks and former CEO of Reckitt Benckiser.
-
B.
N. S. Raghavan
N. S. Raghavan is an Indian entrepreneur best known as one of the co-founders of the global IT services company Infosys.
-
C.
P. Madhusudan
P. Madhusudan is a computer scientist known for his contributions to formal methods, automata theory, and program verification.
-
D.
Bharat Ramaswami
Bharat Ramaswami is an Indian economist known for his research in agricultural economics, development policy, and trade, and for his long association with leading academic institutions in India.
-
E.
Rishikesha T. Krishnan
Rishikesha T. Krishnan is an Indian management scholar and academic leader known for his work on innovation and strategy, and for serving as director of leading Indian Institutes of Management.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Premkumar Devanbu Target entity description: Premkumar Devanbu is a prominent computer scientist known for his influential research in software engineering, particularly in mining software repositories and applying statistical and data-driven methods to software development.
-
A.
Laxman Narasimhan
Laxman Narasimhan is an Indian-American business executive best known as the chief executive officer of Starbucks and former CEO of Reckitt Benckiser.
-
B.
N. S. Raghavan
N. S. Raghavan is an Indian entrepreneur best known as one of the co-founders of the global IT services company Infosys.
-
C.
P. Madhusudan
P. Madhusudan is a computer scientist known for his contributions to formal methods, automata theory, and program verification.
-
D.
Bharat Ramaswami
Bharat Ramaswami is an Indian economist known for his research in agricultural economics, development policy, and trade, and for his long association with leading academic institutions in India.
-
E.
Rishikesha T. Krishnan
Rishikesha T. Krishnan is an Indian management scholar and academic leader known for his work on innovation and strategy, and for serving as director of leading Indian Institutes of Management.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| academicStatus | faculty member ⓘ |
| citizenshipStatus | academic in the United States ⓘ |
| countryOfCitizenship |
United States of America
ⓘ
surface form:
United States
|
| educatedAt |
Rutgers University
ⓘ
Stanford University ⓘ |
| employer | University of California, Davis ⓘ |
| fieldOfWork |
data-driven software engineering
ⓘ
empirical software engineering ⓘ mining software repositories ⓘ software analytics ⓘ software engineering ⓘ software security ⓘ statistical methods in software engineering ⓘ |
| hasAcademicAdvisor | David Luckham ⓘ |
| hasAcademicDiscipline | computer science ⓘ |
| hasContribution |
advancing data-driven approaches to software engineering
ⓘ
bridging software engineering and statistical modeling ⓘ demonstrating natural language-like properties of source code ⓘ empirical evidence for effectiveness of mining software repositories ⓘ |
| hasResearchInterest |
machine learning for software engineering
ⓘ
program analysis ⓘ software evolution ⓘ software maintenance ⓘ software reliability ⓘ software security policies ⓘ |
| hasRole | doctoral advisor ⓘ |
| knownFor |
applying statistical language models to source code
ⓘ
empirical studies of software development practices ⓘ large-scale mining of software repositories ⓘ |
| languageOfWorkOrName | English ⓘ |
| memberOf |
Association for Computing Machinery
ⓘ
IEEE Computer Society ⓘ |
| notableWork |
mining software repositories for defect prediction
ⓘ
research on naturalness of software ⓘ studies on statistical properties of source code ⓘ |
| occupation | professor ⓘ |
| publishesIn |
Empirical Software Engineering journal
ⓘ
IEEE Transactions on Software Engineering ⓘ International Conference on Software Engineering ⓘ Mining Software Repositories Conference ⓘ |
| teaches |
graduate courses in software analytics
ⓘ
graduate courses in software engineering ⓘ |
| workInstitution |
Department of Computer Science, UC Davis
ⓘ
surface form:
Department of Computer Science, University of California, Davis
|
| workLocation | Davis, California ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Premkumar Devanbu Description of subject: Premkumar Devanbu is a prominent computer scientist known for his influential research in software engineering, particularly in mining software repositories and applying statistical and data-driven methods to software development.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.