Guided test generation for coverage criteria. - Rahul Pandita; Tao Xie 001; Nikolai Tillmann; Jonathan de Halleux (ICSM, 2010)

Inferring method specifications from natural language API descriptions. - Rahul Pandita; Xusheng Xiao; Hao Zhong 001; Tao Xie 001; Stephen Oney; Amit M. Paradkar (ICSE, 2012)

WHYPER: Towards Automating Risk Assessment of Mobile Applications. - Rahul Pandita; Xusheng Xiao; Wei Yang 013; William Enck; Tao Xie 001 (USENIX Security Symposium, 2013)

Improving mobile application security via bridging user expectations and application behaviors. - Wei Yang 013; Xusheng Xiao; Rahul Pandita; William Enck; Tao Xie 001 (HotSoS, 2014)

Enabling forensics by proposing heuristics to identify mandatory log events. - Jason King; Rahul Pandita; Laurie A. Williams (HotSoS, 2015)

Discovering likely mappings between APIs using text mining. - Rahul Pandita; Raoul Praful Jetley; Sithu D. Sudarsan; Laurie A. Williams (SCAM, 2015)

Bespoke tools: adapted to the concepts developers know. - Brittany Johnson; Rahul Pandita; Emerson R. Murphy-Hill; Sarah Heckman (ESEC/SIGSOFT FSE, 2015)

ICON: Inferring Temporal Constraints from Natural Language API Descriptions. - Rahul Pandita; Kunal Taneja; Laurie A. Williams; Teresa Tung (ICSME, 2016)

Designing for dystopia: software engineering research for the post-apocalypse. - Titus Barik; Rahul Pandita; Justin Middleton; Emerson R. Murphy-Hill (SIGSOFT FSE, 2016)

A cross-tool communication study on program analysis tool notifications. - Brittany Johnson; Rahul Pandita; Justin Smith 001; Denae Ford; Sarah Elder; Emerson R. Murphy-Hill; Sarah Heckman; Caitlin Sadowski (SIGSOFT FSE, 2016)

Veteran developers' contributions and motivations: An open source perspective. - Patrick Morrison; Rahul Pandita; Emerson R. Murphy-Hill; Anne McLaughlin (VL/HCC, 2016)

TMAP: Discovering relevant API methods through text mining of API documentation. - Rahul Pandita; Raoul Jetley; Sithu D. Sudarsan; Tim Menzies; Laurie A. Williams (J. Softw. Evol. Process., 2017)

Towards J.A.R.V.I.S. for Software Engineering: Lessons Learned in Implementing a Natural Language Chat Interface. - Rahul Pandita; Steven Bucuvalas; Hugolin Bergier; Aleksandar Chakarov; Elizabeth Richards (AAAI Workshops, 2018)

No half-measures: A study of manual and tool-assisted end-user programming tasks in Excel. - Rahul Pandita; Chris Parnin; Felienne Hermans; Emerson R. Murphy-Hill (VL/HCC, 2018)

Are vulnerabilities discovered and resolved like other defects? - Patrick Morrison; Rahul Pandita; Xusheng Xiao; Ram Chillarege; Laurie A. Williams (Empir. Softw. Eng., 2018)

Mapping the field of software life cycle security metrics. - Patrick Morrison; David Moye; Rahul Pandita; Laurie A. Williams (Inf. Softw. Technol., 2018)

A Conceptual Framework for Engineering Chatbots. - Pankaj R. Telang; Anup K. Kalia; Maja Vukovic; Rahul Pandita; Munindar P. Singh (IEEE Internet Comput., 2018)

Preface. - Tao Xie 001; He Jiang 001; Ge Li 001; Tianyu Wo; Rahul Pandita; Chang Xu 001; Lihua Xu (J. Comput. Sci. Technol., 2018)

Latent patterns in activities: a field study of how developers manage context. - Souti Chattopadhyay; Nicholas Nelson 002; Yenifer Ramirez Gonzalez; Annel Amelia Leon; Rahul Pandita; Anita Sarma (ICSE, 2019)

A tale from the trenches: cognitive biases and software development. - Souti Chattopadhyay; Nicholas Nelson 002; Audrey Au; Natalia Morales; Christopher A. Sanchez; Rahul Pandita; Anita Sarma (ICSE, 2020)

Contemporary COBOL: Developers' Perspectives on Defects and Defect Location. - Agnieszka Ciborowska; Aleksandar Chakarov; Rahul Pandita (ICSME, 2021)

OpenCBS: An Open-Source COBOL Defects Benchmark Suite. - Dylan Lee; Austin Z. Henley; Bill Hinshaw; Rahul Pandita (ICSME, 2022)

Cognitive biases in software development. - Souti Chattopadhyay; Nicholas Nelson 002; Audrey Au; Natalia Morales; Christopher A. Sanchez; Rahul Pandita; Anita Sarma (Commun. ACM, 2022)

Extracting Meaningful Attention on Source Code: An Empirical Study of Developer and Neural Model Code Exploration. - Matteo Paltenghi; Rahul Pandita; Austin Z. Henley; Albert Ziegler 001 (CoRR, 2022)

Predicting API Expertise: A Cross-Community Replication Using Zipf's Law. - Mohammadreza Noei; Rahul Pandita; Brittany Johnson (VL/HCC, 2023)

Come for syntax, stay for speed, understand defects: an empirical study of defects in Julia programs. - Akond Rahman; Dibyendu Brinto Bose; Raunak Shakya; Rahul Pandita (Empir. Softw. Eng., 2023)

Security Misconfigurations in Open Source Kubernetes Manifests: An Empirical Study. - Akond Rahman; Shazibul Islam Shamim; Dibyendu Brinto Bose; Rahul Pandita (ACM Trans. Softw. Eng. Methodol., 2023)

An empirical study of task infections in Ansible scripts. - Akond Rahman; Dibyendu Brinto Bose; Yue Zhang; Rahul Pandita (Empir. Softw. Eng., 2024)

Defect Categorization in Compilers: A Multi-vocal Literature Review. - Akond Rahman; Dibyendu Brinto Bose; Farhat Lamia Barsha; Rahul Pandita (ACM Comput. Surv., 2024)

Follow-Up Attention: An Empirical Study of Developer and Neural Model Code Exploration. - Matteo Paltenghi; Rahul Pandita; Austin Z. Henley; Albert Ziegler 001 (IEEE Trans. Software Eng., 2024)

What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards Genai. - Rudrajit Choudhuri; Bianca Trinkenreich; Rahul Pandita; Eirini Kalliamvakou; Igor Steinmacher; Marco Aurélio Gerosa; Christopher Sanchez; Anita Sarma (ICSE, 2025)

Building Your Own Product Copilot: Challenges, Opportunities, and Needs. - Chris Parnin; Gustavo Soares; Rahul Pandita; Sumit Gulwani; Jessica Rich; Austin Z. Henley (SANER, 2025)

What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI. - Rudrajit Choudhuri; Bianca Trinkenreich; Rahul Pandita; Eirini Kalliamvakou; Igor Steinmacher; Marco Aurélio Gerosa; Christopher Sanchez; Anita Sarma (CoRR, 2025)