Data Aggregation in Static Adhoc Networks. - Satish Mahadevan Srinivasan; Azad H. Azadmanesh (ICIIS, 2008)

A Survey on Model Driven Software Development. - Cobra Rahmani; Mansour Zand; Harvey P. Siy; Satish Mahadevan Srinivasan (SEDE, 2009)

Making Use Case Slices Manage Variability in Aspect-based Product Line. - Satish Mahadevan Srinivasan; Mansour Zand (MSVVEIS, 2009)

Data aggregation in partially connected networks. - Satish Mahadevan Srinivasan; Azad H. Azadmanesh (Comput. Commun., 2009)

The Tyranny of the Vital Few: The Pareto Principle in Language Design. - Victor L. Winter; James T. Perry; Harvey P. Siy; Satish Mahadevan Srinivasan; Ben Farkas; James A. McCoy (J. Softw. Eng. Appl., 2011)

Mining for class-specific motifs in protein sequence classification. - Satish Mahadevan Srinivasan; Suleyman Vural; Brian R. King; Chittibabu Guda (BMC Bioinform., 2013)

Survivable Data Aggregation in Multiagent Network Systems with Hybrid Faults. - Satish Mahadevan Srinivasan; Azad H. Azadmanesh (IEEE Trans. Computers, 2013)

LocSigDB: a database of protein localization signals. - Simarjeet Negi; Sanjit Pandey; Satish Mahadevan Srinivasan; Akram Mohammed; Chittibabu Guda (Database J. Biol. Databases Curation, 2015)

On the measures for ranking software components. - Satish Mahadevan Srinivasan; Raghvinder S. Sangwan; Colin J. Neill (Innov. Syst. Softw. Eng., 2017)

Web App Security: A Comparison and Categorization of Testing Frameworks. - Satish Mahadevan Srinivasan; Raghvinder S. Sangwan (IEEE Softw., 2017)

Twitter Data for Predicting Election Results: Insights from Emotion Classification. - Satish Mahadevan Srinivasan; Raghvinder S. Sangwan; Colin J. Neill; Tianhai Zu (IEEE Technol. Soc. Mag., 2019)

Predicting re-admission to hospital for diabetes treatment: a machine learning solution. - Satish Mahadevan Srinivasan; Yok-Fong Paat; Philmore Halls; Ruth Kalule; Thomas E. Harvey (Int. J. Comput. Biol. Drug Des., 2020)

Ranking Critical Activities in Complex System Development Projects. - Satish Mahadevan Srinivasan; Nil H. Kilicay-Ergin; Raghvinder S. Sangwan; Colin J. Neill (IEEE Syst. J., 2020)

Modelling and visualising emotions in Twitter feeds. - Satish Mahadevan Srinivasan; Ruchika Chari; Abhishek Tripathi (Int. J. Data Min. Model. Manag., 2021)

On the Testability of Artificial Intelligence and Machine Learning Systems. - Raghvinder S. Sangwan; Youakim Badr; Satish Mahadevan Srinivasan; Partha Mukherjee (Computer, 2022)

Detecting Discussions of Technical Debt. - Ipek Ozkaya; Zachary Kurtz; Robert L. Nord; Raghvinder S. Sangwan; Satish Mahadevan Srinivasan (CoRR, 2022)

Improving Testing of Deep-learning Systems: A combination of differential and mutation testing results in better test data. - Harsh Deokuliar; Raghvinder S. Sangwan; Youakim Badr; Satish Mahadevan Srinivasan (ACM Queue, 2023)

Cybersecurity for AI Systems: A Survey. - Raghvinder S. Sangwan; Youakim Badr; Satish Mahadevan Srinivasan (J. Cybersecur. Priv., 2023)

Characterizing diseases using genetic and clinical variables: A data analytics approach. - Madhuri Gollapalli; Harsh Anand; Satish Mahadevan Srinivasan (Quant. Biol., 2024)

Improving Testing of Deep-Learning Systems. - Harsh Deokuliar; Raghvinder S. Sangwan; Yoaukim Badr; Satish Mahadevan Srinivasan (Commun. ACM, 2024)

A Data-Centric Approach to Understanding the 2020 U.S. Presidential Election. - Satish Mahadevan Srinivasan; Yok-Fong Paat (Big Data Cogn. Comput., 2024)