Tool-Supported Dataflow Analysis of a Security-Critical Embedded Device. - Chris Mills; Colin J. Fidge; Diane Corney (AISC, 2012)

Laptop initiative: Impact on instructional technology integration and student learning. - Jared Keengwe; Gary Schnellert; Chris Mills (Educ. Inf. Technol., 2012)

A machine learning approach for determining the validity of traceability links. - Chris Mills; Sonia Haiduc (ICSE (Companion Volume), 2017)

The Impact of Retrieval Direction on IR-Based Traceability Link Recovery. - Chris Mills; Sonia Haiduc (ICSE-NIER, 2017)

Towards the automatic classification of traceability links. - Chris Mills (ASE, 2017)

Automating traceability link recovery through classification. - Chris Mills (ESEC/SIGSOFT FSE, 2017)

Predicting Query Quality for Applications of Text Retrieval to Software Engineering Tasks. - Chris Mills; Gabriele Bavota; Sonia Haiduc; Rocco Oliveto; Andrian Marcus; Andrea De Lucia (ACM Trans. Softw. Eng. Methodol., 2017)

Automatic Traceability Maintenance via Machine Learning Classification. - Chris Mills; Javier Escobar-Avila; Sonia Haiduc (ICSME, 2018)

Are Bug Reports Enough for Text Retrieval-Based Bug Localization? - Chris Mills; Jevgenija Pantiuchina; Esteban Parra; Gabriele Bavota; Sonia Haiduc (ICSME, 2018)

Tracing with Less Data: Active Learning for Classification-Based Traceability Link Recovery. - Chris Mills; Javier Escobar-Avila; Aditya R. Bhattacharya; Grigoriy Kondyukov; Shayok Chakraborty; Sonia Haiduc (ICSME, 2019)

On the relationship between bug reports and queries for text retrieval-based bug localization. - Chris Mills; Esteban Parra; Jevgenija Pantiuchina; Gabriele Bavota; Sonia Haiduc (Empir. Softw. Eng., 2020)