TY - JOUR
AU - Brechmann, André
AB -  Measuring Neural Efficiency of Program Comprehension Janet Siegmund Norman Peitek University of Passau Passau, Germany Leibniz Institute for Neurobiology Magdeburg, Germany Sven Apel Johannes Hofmeister University of Passau Passau, Germany Andrew Begel Microsoft Research Redmond, Washington, USA University of Passau Passau, Germany Anja Bethmann Leibniz Institute for Neurobiology Magdeburg, Germany ABSTRACT Chris Parnin NC State University Raleigh, North Carolina, USA Christian K stner Carnegie Mellon University Pittsburgh, Pennsylvania, USA André Brechmann Leibniz Institute for Neurobiology Magdeburg, Germany Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, Paderborn, Germany, September 4 “8, 2017 (ESEC/FSE ™17), 11 pages. https://doi.org/10.1145/3106237.3106268 Most modern software programs cannot be understood in their entirety by a single programmer. Instead, programmers must rely on a set of cognitive processes that aid in seeking, filtering, and shaping relevant information for a given programming task. Several theories have been proposed to explain these processes, such as œbeacons,  for locating relevant code, and œplans,  for encoding cognitive models. However, these theories are decades old and lack validation with modern cognitive-neuroscience methods. In this paper, we report on a study using functional magnetic resonance imaging (fMRI) with 11 participants who performed program comprehension tasks. We 
TI - Measuring neural efficiency of program comprehension
DA - 2017-08-21
UR - https://www.deepdyve.com/lp/association-for-computing-machinery/measuring-neural-efficiency-of-program-comprehension-OB0V9fN0kl
DP - DeepDyve
ER -