Conference proceedings
Tarlow, D., Moitra, S., Rice, A., Chen, Z., Manzagol, PA., Sutton, C. and Aftandilian, E., 2020. Learning to Fix Build Errors with Graph2Diff Neural Networks Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020,
Doi: http://doi.org/10.1145/3387940.3392181
Moore, R., Caines, A., Rice, A. and Buttery, P., 2019. Behavioural cloning of teachers for automatic homework selection Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11625 LNAI
Doi: 10.1007/978-3-030-23204-7_28
Fekry, A., Carata, L., Pasquier, T., Rice, A. and Hopper, A., 2019. Towards seamless configuration tuning of big data analytics Proceedings - International Conference on Distributed Computing Systems, v. 2019-July
Doi: 10.1109/ICDCS.2019.00189
Cummins, S., Stead, A., Jardine-Wright, L., Davies, I., Beresford, AR. and Rice, A., 2016. Investigating the use of hints in online problem solving L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale,
Doi: 10.1145/2876034.2893379
Cummins, S., Beresford, AR., Davies, I. and Rice, A., 2016. Supporting Authentication and Scalable Data Sharing in Online Education L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale,
Doi: 10.1145/2876034.2893376
Patrick, M., Elderfield, J., Stutt, ROJH., Rice, A. and Gilligan, CA., 2016. Software testing in a scientific research group Proceedings of the ACM Symposium on Applied Computing, v. 04-08-April-2016
Doi: http://doi.org/10.1145/2851613.2851783
Gechter, F., Beresford, AR. and Rice, A., 2016. Reconstruction of battery level curves based on user data collected from a smartphone Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9883 LNAI
Doi: 10.1007/978-3-319-44748-3_28
Hintze, D. and Rice, A., 2016. Picky: Efficient and Reproducible Sharing of Large Datasets using Merkle-Trees 2016 IEEE 24TH INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (MASCOTS),
Doi: 10.1109/MASCOTS.2016.25
Cummins, S., Davies, I., Rice, A. and Beresford, AR., 2015. Equality: A tool for free-form equation editing Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015,
Doi: 10.1109/ICALT.2015.34
Thomas, DR., Beresford, AR. and Rice, A., 2015. Security metrics for the Android ecosystem SPSM 2015 - Proceedings of the 5th Annual ACM CCS Workshop on Security and Privacy in Smartphones and Mobile Devices, co-located with: CCS 2015,
Doi: 10.1145/2808117.2808118
Snee, J., Carata, L., Chick, ORA., Sohan, R., Faragher, RM., Rice, A. and Hopper, A., 2015. Soroban: Attributing latency in virtualized environments 7th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2015,
Wagner, DT., Thomas, DR., Beresford, AR. and Rice, A., 2015. Device analyzer: A privacy-aware platform to support research on the android ecosystem Proceedings of the 8th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2015,
Doi: 10.1145/2766498.2774992
Snee, J., Carata, L., Chick, ORA., Sohan, R., Faragher, RM., Rice, A. and Hopper, A., 2015. Soroban: Attributing latency in virtualized environments 7th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2015,
Snee, J., Carata, L., Chick, ORA., Sohan, R., Faragher, RM., Rice, A. and Hopper, A., 2015. Soroban: Attributing latency in virtualized environments 7th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2015,
Rice, A. and Beresford, AR., 2014. The device analyzer competition UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing,
Doi: 10.1145/2638728.2641696
Wagner, DT., Rice, A. and Beresford, AR., 2014. Device analyzer: Understanding smartphone usage Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, v. 131
Doi: 10.1007/978-3-319-11569-6_16
Ding, N., Wagner, D., Chen, X., Hu, YC. and Rice, A., 2013. Characterizing and modeling the impact of wireless signal strength on smartphone battery drain Performance Evaluation Review, v. 41
Doi: http://doi.org/10.1145/2494232.2466586
Beresford, AR., Rice, A., Skehin, N. and Sohan, R., 2011. MockDroid: trading privacy for application functionality on smartphones In the Proceedings of the 11th Workshop on Mobile Computing Systems and Applications (HotMobile),
Sohan, RS., Akoush, SA., Rice, AC., Moore, AW. and Hopper, A., 2011. Free Lunch: Exploiting Renewable Energy For Computing
Rice, A. and Turner, SJ., 2011. Message from the MASCOTS 2011 program chairs IEEE International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems - Proceedings,
Doi: http://doi.org/10.1109/MASCOTS.2011.5
Rice, A., Hay, S. and Ryder-Cook, D., 2010. A limited-data model of building energy consumption Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building - BuildSys ’10,
Doi: http://doi.org/10.1145/1878431.1878447
Vallina-Rodriguez, N., Hui, P., Crowcroft, J. and Rice, AC., 2010. Exhausting battery statistics: understanding the energy demands on mobile handsets. MobiHeld,
Akoush, S., Sohan, R., Rice, A., Moore, AW. and Hopper, A., 2010. Predicting the performance of virtual machine migration Proceedings - 18th Annual IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2010,
Doi: 10.1109/MASCOTS.2010.13
Sohan, R., Rice, A., Moore, AW. and Mansley, K., 2010. Characterizing 10 Gbps network interface energy consumption Proceedings - Conference on Local Computer Networks, LCN,
Doi: 10.1109/LCN.2010.5735719
Hay, S. and Rice, A., 2009. The case for apportionment Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings - BuildSys ’09,
Doi: http://doi.org/10.1145/1810279.1810283
Hopper, A. and Rice, A., 2008. Computing for the future of the planet. Philos Trans A Math Phys Eng Sci, v. 366
Doi: 10.1098/rsta.2008.0124
Hylick, A., Sohan, R., Rice, AC. and Jones, B., 2008. An Analysis of Hard Drive Energy Consumption. MASCOTS,
Rice, AC., Beresford, AR. and Harle, RK., 2006. Cantag: An open source software toolkit for designing and deploying marker-based vision systems PERCOM 2006: FOURTH ANNUAL IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS, PROCEEDINGS,
Rice, AC. and Beresford, AR., 2006. Dependability and accountability for context-aware middleware systems FOURTH ANNUAL IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS, PROCEEDINGS,
Rice, AC., Harle, RK. and Beresford, AR., 2006. Analysing fundamental properties of marker-based vision system designs. Pervasive Mob. Comput., v. 2
Doi: 10.1016/j.pmcj.2006.07.006
Rice, AC., Cain, CB. and Fawcett, JK., 2005. Dependable coding of fiducial tags UBIQUITOUS COMPUTING SYSTEMS, v. 3598
Rice, AC. and Harle, RK., 2005. Evaluating lateration-based positioning algorithms for fine-grained tracking. DIALM-POMC,
Fekry, A., Carata, L., Pasquier, T. and Rice, A., Accelerating the Configuration Tuning of Big Data Analytics with Similarity-aware Multitask Bayesian Optimization IEEE International Conference on Big Data,
Contrastin, M., Rice, AC. and Orchard, D., Automatic reordering for dataflow safety of Datalog Proceedings of the 20th International Symposium on Principles and Practice of Declarative Programming,
Doi: http://doi.org/10.1145/3236950.3236954
Rice, AC. and Licker, N., Detecting Incorrect Build Rules ICSE '19: 41st International Conference on Software Engineering,
Doi: 10.17863/CAM.35755
Akoush, S., Sohan, R., Rice, A., Moore, AW. and Hopper, A., Free Lunch: Exploiting Renewable Energy For Computing
Danish, M., Allamanis, M., Brockschmidt, M., Rice, A. and Orchard, D., Learning units-of-measure from scientific code
Mesbah, A., Rice, A., Aftandilian, E., Johnston, E. and Glorioso, N., DeepDelta: Learning to Repair Compilation Errors
Faragher, R. and Rice, A., SwiftScan: Efficient Wi-Fi scanning for background location-based services
Carrata, L., Sohan, RS., Rice, A. and Hopper, A., IPAPI: Designing an Improved Provenance API
Moore, R., Caines, A., Elliott, M., Zaidi, A., Rice, A. and Buttery, P., Skills Embeddings: a Neural Approach to Multicomponent Representations of Students and Tasks
Ding, N., Wagner, D., Chen, X., Pathak, A., Hu, YC. and Rice, AC., Characterizing and modeling the impact of wireless signal strength on smartphone battery drain Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems,
Doi: http://doi.org/10.1145/2465529.2466586
Zaidi, A., Caines, A., Davis, C., Moore, R., Buttery, P. and Rice, A., Accurate Modelling of Language Learning Tasks and Students Using Representations of Grammatical Proficiency
Zaidi, A., Caines, A., Moore, R., Buttery, P. and Rice, A., Adaptive Forgetting Curves for Spaced Repetition Language Learning
Fekry, A., Carata, L., Pasquier, T., Rice, A. and Hopper, A., To Tune or Not to Tune? In Search of Optimal Configurations for Data Analytics
Journal articles
Orchard, D., Contrastin, M., Danish, M. and Rice, AC., 2019. Verifying spatial properties of array computations. PACMPL, v. 1
Rice, AC., Aftandilian, E., Jaspan, C., Johnston, E., Pradel, M. and Arroyo-Paredes, Y., 2017. Detecting Argument Selection Defects Proceedings of the ACM on Programming Languages,
Doi: http://doi.org/10.1145/3133928
Orchard, D., Contrastin, M., Danish, M. and Rice, A., 2017. Verifying spatial properties of array computations Proceedings of the ACM on Programming Languages, v. 1
Doi: 10.1145/3133899
Contrastin, M., Danish, M., Orchard, D. and Rice, A., 2016. Lightning talk: Supporting software sustainability with lightweight specifications CEUR Workshop Proceedings, v. 1686
Cummins, S., Beresford, AR. and Rice, A., 2016. Investigating Engagement with In-Video Quiz Questions in a Programming Course IEEE Transactions on Learning Technologies, v. 9
Doi: 10.1109/TLT.2015.2444374
Orchard, D., Rice, A. and Oshmyan, O., 2015. Evolving Fortran types with inferred units-of-measure Journal of Computational Science, v. 9
Doi: 10.1016/j.jocs.2015.04.018
Contrastin, MOJP., Orchard, DA., Rice, AC. and Danish, MR., 2015. Units-of-Measure Correctness in Fortran Programs Computing in Science and Engineering, v. 18
Doi: http://doi.org/10.1109/MCSE.2016.17
Wagner, DT., Rice, A. and Beresford, AR., 2014. Device analyzer: Largescale mobile data collection Performance Evaluation Review, v. 41
Doi: 10.1145/2627534.2627553
Linnap, M. and Rice, A., 2014. Managed Participatory Sensing with YouSense JOURNAL OF URBAN TECHNOLOGY, v. 21
Doi: 10.1080/10630732.2014.888216
Bazilian, M., Rice, A., Rotich, J., Howells, M., DeCarolis, J., Macmillan, S., Brooks, C., Bauer, F. and Liebreich, M., 2012. Open source software and crowdsourcing for energy analysis Energy Policy,
Bazilian, M., Rice, A., Rotich, J., Howells, M., DeCarolis, J., Macmillan, S., Brooks, C., Bauer, F. and Liebreich, M., 2012. Open source software and crowdsourcing for energy analysis Energy Policy, v. 49
Doi: http://doi.org/10.1016/j.enpol.2012.06.032
Akoush, S., Sohan, R., Roman, B., Rice, A. and Hopper, A., 2011. Activity based sector synchronisation: Efficient transfer of disk-state for WAN live migration IEEE International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems - Proceedings,
Doi: 10.1109/MASCOTS.2011.20
Rice, AC. and Hay, S., 2010. Measuring mobile phone energy consumption for 802.11 wireless networking. Pervasive Mob. Comput., v. 6
Doi: 10.1016/j.pmcj.2010.07.005
Hylick, A., Rice, AC., Jones, B. and Sohan, R., 2007. Hard drive power consumption uncovered. SIGMETRICS Perform. Evaluation Rev., v. 35
Doi: 10.1145/1328690.1328714
Book chapters
Audzevich, Y., Moore, AW., Rice, A., Sohan, R., Timotheou, S., Crowcroft, J., Akoush, S., Hopper, A., Wonfor, A., Wang, H., Penty, R., White, I., Dong, T., El-Gorashi, T. and Elmirghani, J., 2012. Intelligent Energy Aware Networks
Theses / dissertations
Fekry, A., Optimizing Data-Intensive Computing with Efficient Configuration Tuning
Timmons, N., Software-based approximate computing for mathematical functions
Datasets
Rice, AC. and Licker, N., Detecting Incorrect Build Rules - Artifact
Orchard, D., Contrastin, M., Danish, M. and Rice, AC., Research data supporting Verifying Spatial Properties of Array Computations
Thomas, DR., Wagner, DT., Beresford, AR. and Rice, A., Supporting data for: "Security metrics for the Android ecosystem"
