Personas in the middle: automated support for creating personas as focal points in feature gathering forums. - Mona Rahimi; Jane Cleland-Huang (ASE, 2014)

Weka meets TraceLab: Toward convenient classification: Machine learning for requirements engineering problems: A position paper. - Jane Huffman Hayes; Wenbin Li 009; Mona Rahimi (AIRE, 2014)

Automated extraction and visualization of quality concerns from requirements specifications. - Mona Rahimi; Mehdi Mirakhorli; Jane Cleland-Huang (RE, 2014)

Achieving lightweight trustworthy traceability. - Jane Cleland-Huang; Mona Rahimi; Patrick Mäder (SIGSOFT FSE, 2014)

Ready-Set-Transfer! Technology transfer in the requirements engineering domain. - Jane Cleland-Huang; Mona Rahimi; Mehdi Mirakhorli (RE, 2015)

Patterns of co-evolution between requirements and source code. - Mona Rahimi; Jane Cleland-Huang (RePa@RE, 2015)

Trace link evolution across multiple software versions in safety-critical systems. - Mona Rahimi (ICSE (Companion Volume), 2016)

Artifact: Cassandra Source Code, Feature Descriptions across 27 Versions, with Starting and Ending Version Trace Matrices. - Mona Rahimi; Jane Cleland-Huang (ICSME, 2016)

Evolving Requirements-to-Code Trace Links across Versions of a Software System. - Mona Rahimi; William Goss; Jane Cleland-Huang (ICSME, 2016)

Cold-start software analytics. - Jin Guo 004; Mona Rahimi; Jane Cleland-Huang; Alexander Rasin; Jane Huffman Hayes; Michael Vierhauser (MSR, 2016)

Mining Requirements Knowledge from Collections of Domain Documents. - Xiaoli Lian; Mona Rahimi; Jane Cleland-Huang; Li Zhang 029; Remo Ferrai; Michael Smith 025 (RE, 2016)

A Case Study: Injecting Safety-Critical Thinking into Graduate Software Engineering Projects. - Jane Cleland-Huang; Mona Rahimi (ICSE-SEET, 2017)

Diagnosing assumption problems in safety-critical products. - Mona Rahimi; Wandi Xiong; Jane Cleland-Huang; Robyn R. Lutz (ASE, 2017)

Evolving software trace links between requirements and source code. - Mona Rahimi; Jane Cleland-Huang (Empir. Softw. Eng., 2018)

Software Assurance in an Uncertain World. - Marsha Chechik; Rick Salay; Torin Viger; Sahar Kokaly; Mona Rahimi (FASE, 2019)

Leveraging artifact trees to evolve and reuse safety cases. - Ankit Agrawal 002; Seyedehzahra Khoshmanesh; Michael Vierhauser; Mona Rahimi; Jane Cleland-Huang; Robyn R. Lutz (ICSE, 2019)

Toward Requirements Specification for Machine-Learned Components. - Mona Rahimi; Jin L. C. Guo; Sahar Kokaly; Marsha Chechik (RE Workshops, 2019)

Uncertainty, Modeling and Safety Assurance: Towards a Unified Framework. - Marsha Chechik; Sahar Kokaly; Mona Rahimi; Rick Salay; Torin Viger (VSTTE, 2019)

Message from the Organizers. - Nelly Bencomo; Alessio Ferrari 001; Fatma Basak Aydemir; Mona Rahimi (AIRE@RE, 2020)

Towards Requirements Specification for Machine-learned Perception Based on Human Performance. - Boyue Caroline Hu; Rick Salay; Krzysztof Czarnecki 001; Mona Rahimi; Gehan M. K. Selim; Marsha Chechik (AIRE@RE, 2020)

Leveraging Code-Test Co-evolution Patterns for Automated Test Case Recommendation. - Samiha Shimmi; Mona Rahimi (AST@ICSE, 2022)

Improving generalizability of ML-enabled software through domain specification. - Hamed Barzamini; Mona Rahimi; Murtuza Shahzad; Hamed Alhoori (CAIN, 2022)

Neuroprotective Effects of Electrical Stimulation Following Ischemic Stroke in Non-Human Primates. - Jasmine Zhou; Karam Khateeb; Aryaman Gala; Mona Rahimi; Devon J. Griggs; Zachary Ip; Azadeh Yazdan-Shahmorad (EMBC, 2022)

Patterns of Code-to-Test Co-evolution for Automated Test Suite Maintenance. - Samiha Shimmi; Mona Rahimi (ICST, 2022)

B-AIS: An Automated Process for Black-box Evaluation of Visual Perception in AI-enabled Software against Domain Semantics. - Hamed Barzamini; Mona Rahimi (ASE, 2022)

CADE: The Missing Benchmark in Evaluating Dataset Requirements of AI-enabled Software. - Hamed Barzamini; Mona Rahimi (RE, 2022)

Visualization of aggregated information to support class-level software evolution. - Mona Rahimi; Michael Vierhauser (J. Syst. Softw., 2022)

A multi-level semantic web for hard-to-specify domain concept, Pedestrian, in ML-based software. - Hamed Barzamini; Murtuza Shahzad; Hamed Alhoori; Mona Rahimi (Requir. Eng., 2022)

Test Case Recommendations with Distributed Representation of Code Syntactic Features. - Mosab Rezaei; Hamed Alhoori; Mona Rahimi (ASEW, 2023)

SST' 23 - Software and Systems Traceability Message from the Workshop Chairs. - Jan-Philipp Steghöfer; Nan Niu; Mona Rahimi; Michael Vierhauser (REW, 2023)

Predicting Facebook sentiments towards research. - Murtuza Shahzad; Cole Freeman; Mona Rahimi; Hamed Alhoori (Nat. Lang. Process. J., 2023)

Software Vulnerability Detection Using LLM: Does Additional Information Help? - Samiha Shimmi; Yash Saini; Mark Schaefer; Hamed Okhravi; Mona Rahimi (ACSAC Workshops, 2024)

VulSim: Leveraging Similarity of Multi-Dimensional Neighbor Embeddings for Vulnerability Detection. - Samiha Shimmi; Ashiqur Rahman; Mohan Gadde; Hamed Okhravi; Mona Rahimi (USENIX Security Symposium, 2024)

An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software. - Hamed Barzamini; Fatemeh Nazaritiji; Annalise Brockmann; Hasan Ferdowsi; Mona Rahimi (CAIN, 2025)

Enhanced Detection of Code Vulnerability With Synergy Between Data-Driven, Rule-Based and Unsupervised Learnings. - Hibah Mohammed Ghouse; Samiha Shimmi; Mona Rahimi (EnCyCriS, 2025)

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks. - Murtuza Shahzad; Joseph Wilson; Ibrahim Al Azher; Hamed Alhoori; Mona Rahimi (LLM4Code@ICSE, 2025)

Dynamic domain analysis for predicting concept drift in engineering AI-enabled software. - Murtuza Shahzad; Hamed Barzamini; Joseph Wilson; Hamed Alhoori; Mona Rahimi (J. Data Inf. Sci., 2025)

AI-Based Software Vulnerability Detection: A Systematic Literature Review. - Samiha Shimmi; Hamed Okhravi; Mona Rahimi (CoRR, 2025)