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Computer Science and Artificial Intelligence Lab (CSAIL)

Research and Teaching Output of the MIT Community

Computer Science and Artificial Intelligence Lab (CSAIL)

Recent Submissions

  • Rubin, Julia; Gordon, Michael I.; Nguyen, Nguyen; Rinard, Martin (2015-05-04)
    This paper studies communication patterns in mobile applications. Our analysis shows that 65% of the HTTP, socket, and RPC communication in top-popular Android applications from Google Play have no effect on the user-observable ...
  • Richter, Charles; Vega-Brown, William; Roy, Nicholas (2015-04-27)
    We document two environment-generating distributions used for sampling random 2D maps. The first generates random hallway environments based on a Markov chain and the second generates random forest environments based on ...
  • Sidiroglou-Douskos, Stelios; Lahtinen, Eric; Long, Fan; Rinard, Martin (2015-04-15)
    We present Code Phage (CP), a system for automatically transferring correct code from donor applications into recipient applications that process the same inputs to successfully eliminate errors in the recipient. Experimental ...
  • Sidiroglou-Douskos, Stelios; Davis, Eli; Rinard, Martin (2015-04-14)
    We present a new horizontal code transfer technique, program fracture and recombination, for automatically replacing, deleting, and/or combining code from multiple applications. Benefits include automatic generation of new ...
  • Beckmann, Nathan; Sanchez, Daniel (2015-04-09)
    Modern processors use high-performance cache replacement policies that outperform traditional alternatives like least-recently used (LRU). Unfortunately, current cache models use stack distances to predict LRU or its ...
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