A Search-Based Approach for Cost-Effective Software Test Automation Decision Support and an Industrial Case Study. - Yasaman Amannejad; Vahid Garousi; Rob Irving; Zahra Sahaf (ICST Workshops, 2014)

From requirements to software design: An automated solution for packaging software classes. - Yasaman Amannejad; Mohammad Moshirpour; Behrouz Homayoun Far; Reda Alhajj (IRI, 2014)

When to automate software testing? decision support based on system dynamics: an industrial case study. - Zahra Sahaf; Vahid Garousi; Dietmar Pfahl; Rob Irving; Yasaman Amannejad (ICSSP, 2014)

Detecting performance interference in cloud-based web services. - Yasaman Amannejad; Diwakar Krishnamurthy; Behrouz Homayoun Far (IM, 2015)

Software test-code engineering: A systematic mapping. - Vahid Garousi-Yusifoglu; Yasaman Amannejad; Aysu Betin Can (Inf. Softw. Technol., 2015)

Managing Performance Interference in Cloud-Based Web Services. - Yasaman Amannejad; Diwakar Krishnamurthy; Behrouz Homayoun Far (IEEE Trans. Netw. Serv. Manag., 2015)

Predicting Web service response time percentiles. - Yasaman Amannejad; Diwakar Krishnamurthy; Behrouz Homayoun Far (CNSM, 2016)

Performance Management of Web Services Using Machine Learning Techniques. - Yasaman Amannejad (2017)

Fast and Lightweight Execution Time Predictions for Spark Applications. - Yasaman Amannejad; Sarah Shah; Diwakar Krishnamurthy; Mea Wang (CLOUD, 2019)

Quick Execution Time Predictions for Spark Applications. - Sarah Shah; Yasaman Amannejad; Diwakar Krishnamurthy; Mea Wang (CNSM, 2019)

Prospective: A Data-Driven Technique to Predict Web Service Response Time Percentiles. - Yasaman Amannejad; Diwakar Krishnamurthy; Behrouz H. Far (IEEE Access, 2019)

Building and Evaluating Federated Models for Edge Computing. - Yasaman Amannejad (CNSM, 2020)

Analysis of Federated Learning as a Distributed Solution for Learning on Edge Devices. - Saba F. Lameh; Wade Noble; Yasaman Amannejad; Arash Afshar (IDSTA, 2020)

Using Transfer Learning in Building Federated Learning Models on Edge Devices. - Jordan Suzuki; Saba F. Lameh; Yasaman Amannejad (IDSTA, 2021)

Diaspore: Diagnosing Performance Interference in Apache Spark. - Sarah Shah; Yasaman Amannejad; Diwakar Krishnamurthy (IEEE Access, 2021)

PERIDOT: Modeling Execution Time of Spark Applications. - Sarah Shah; Yasaman Amannejad; Diwakar Krishnamurthy; Mea Wang (IEEE Open J. Comput. Soc., 2021)

Pairwise Application Log Classification. - Byron Stuike; Yasaman Amannejad (BigComp, 2023)

Predicting the Performance of DNNs to Support Efficient Resource Allocation. - Sarah Shah; Yasaman Amannejad; Diwakar Krishnamurthy (CNSM, 2023)

Automated Identification of Microaggressions. - Matthieu Bardal; Kaleb Chisholm; Sean Jamieson; Mark Alwast; Kasi Viswanath Nilla; Khanh Le; Yasaman Amannejad (IHTC, 2023)

Budget Aware Performance Test Selection for Microservices. - Quinn Cooper; Diwakar Krishnamurthy; Yasaman Amannejad (CLOUD, 2024)

A Comparative Analysis of Generative Adversarial Networks for Generating Cloud Workloads. - Niloofar Sharifisadr; Diwakar Krishnamurthy; Yasaman Amannejad (CLOUD, 2024)

SLA-Driven Performance Prediction for Co-Hosted DNNs. - Sarah Shah; Yasaman Amannejad; Diwakar Krishnamurthy (NOMS, 2025)

Performance Observations from Split Federated Learning on Heterogeneous Devices & Networks. - Samuel Trepac; Yasaman Amannejad (NOMS, 2025)