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Pavan Kumar Chittimalli

Observed names: Kumar Chittimalli, Pavan, P.K. Chittimalli, Pavan Chittimalli
ORCID: 0000-0002-3639-6639
Observed ORCID: 0000-0002-3639-6639
OpenAlex ID: A5019962527
Test-Suite Augmentation for Evolving Software
2008 · Raul Santelices, Pavan Kumar Chittimalli, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 162
Recomputing Coverage Information to Assist Regression Testing
2009 · P.K. Chittimalli, M.-J. Harrold · IEEE Transactions on Software Engineering · 74
MATRIX: Maintenance-Oriented Testing Requirements Identifier and Examiner
2006 · T. Apiwattanapong, R. Santelices, et al. · Testing: Academic and Industrial Conference Practice and Research Techniques (TAIC PART) · 51
Regression test selection on system requirements
2008 · Pavan Kumar Chittimalli, Mary Jean Harrold · India Software Engineering Conference · 38
Re-computing Coverage Information to Assist Regression Testing
2007 · Pavan Kumar Chittimalli, Mary Jean Harrold · IEEE International Conference on Software Maintenance (ICSM) · 24
Domain-independent method of detecting inconsistencies in SBVR-based business rules
2016 · Pavan Kumar Chittimalli, Kritika Anand · 14
An Approach to Mine SBVR Vocabularies and Rules from Business Documents
2020 · Pavan Kumar Chittimalli, Chandan Prakash, et al. · Innovations in Software Engineering Conference (ISEC) · 12
GEMS: A Generic Model Based Source Code Instrumentation Framework
2012 · Pavan Kumar Chittimalli, Vipul Shah · IEEE International Conference on Software Testing, Verification and Validation (ICST) · 11
Identifying Anomalies in SBVR-based Business Rules using Directed Graphs and SMT-LIBv2
2018 · Sayandeep Mitra, Kritika Anand, et al. · International Conference on Enterprise Information Systems · 7
An Automated Detection of Inconsistencies in SBVR-based Business Rules Using Many-sorted Logic
2017 · Kritika Anand, Pavan Kumar Chittimalli, et al. · Lecture notes in computer science · 7
A Systematic Review of Methods for Consistency Checking in SBVR-based Business Rules.
2017 · Sayandeep Mitra, Pavan Kumar Chittimalli · 7
BuRRiTo: A Framework to Extract, Specify, Verify and Analyze Business Rules
2019 · Pavan Kumar Chittimalli, Kritika Anand, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 6
An Approach to Mine Business Rule Intents from Domain-specific Documents
2017 · Abhidip Bhattacharyya, Pavan Kumar Chittimalli, et al. · Innovations in Software Engineering Conference (ISEC) · 6
Open Information Extraction Using Dependency Parser for Business Rule Mining in SBVR Format
2021 · Chandan Prakash, Pavan Kumar Chittimalli, et al. · Innovations in Software Engineering Conference (ISEC) · 5
Relation Identification in Business Rules for Domain-specific Documents
2018 · Abhidip Bhattacharyya, Pavan Kumar Chittimalli, et al. · Innovations in Software Engineering Conference (ISEC) · 5
Variable provenance in software systems
2014 · Pavan Kumar Chittimalli, Ravindra Naik · International Workshop on Recommendation Systems for Software Engineering (RSSE) · 4
SBVR-based Business Rule Creation for Legacy Programs using Variable Provenance
2019 · Pavan Kumar Chittimalli, Abhidip Bhattacharyya · Innovations in Software Engineering Conference (ISEC) · 3
Semantic Search and Query Over SBVR-based Business Rules using SMT based Approach and Information Retrieval Method
2019 · Kritika Anand, Sayandeep Mitra, et al. · International Conference on Evaluation of Novel Approaches to Software Engineering · 3
Domain Specific Text Preprocessing for Open Information Extraction
2022 · Chandan Prakash, Pavan Kumar Chittimalli, et al. · Innovations in Software Engineering Conference (ISEC) · 2
Identifying and Extracting Hierarchical Information from Business PDF Documents
2022 · Rohit Prakash Shere, Pavan Kumar Chittimalli, et al. · Innovations in Software Engineering Conference (ISEC) · 2
MatGap: A Systematic Approach to Perform Match and Gap Analysis among SBVR-Based Domain Specific Business Rules
2018 · Sayandeep Mitra, Chandan Prakash, et al. · Asia-Pacific Software Engineering Conference (APSEC) · 2
Thesis Proposal: A Normalization-First Framework for Sound, Complete, and Utility-Ready Open Information Extraction
2026 · Association for Computational Linguistics 2026, Bhattacharya, Arnab, et al. · Underline Science Inc.
An Efficient Approach for Model Recovery From Image Containing Diagrams
2026 · Gopal Shendge, Lisha Ahuja, et al. · IEEE International Conference on Software Architecture Companion (ICSA-C)
SmartDocComparator - A Template Guided Smart Document Comparator for Acceptance Testing
2026 · Pavan Kumar Chittimalli, Chandan Prakash, et al. · Innovations in Software Engineering Conference (ISEC)
From Regulatory Text to Executable Configuration: A Neuro-Symbolic Architecture for Automated Enterprise Software Systems
2026 · Chandan Prakash, Pavan Chittimalli, et al. · International Conference on Evaluation of Novel Approaches to Software Engineering
Works count: 31
Citation count: 445
H-index: 8
I10-index: 8
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