22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering

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en:scientific_committee [2015/02/13 14:36]
yann
en:scientific_committee [2015/02/13 14:36] (current)
yann [Tools Track Co-chairs]
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 [[http://​essere.disco.unimib.it/​|{{:​francesca.jpg?​nolink&​100 |http://​essere.disco.unimib.it/​}}]] Francesca Arcelli Fontana worked in Italy at University of Milano, University of Salerno and University of Sannio. Currently, she  is Associate Professor of software engineering at the Department of Computer Science of the University of Milano Bicocca, ​ where she works in the area of  software evolution and reverse engineering and she leads the Evolution of Software SystEms and Reverse Engineering Lab. (ESSeRE). The actual research activity principally concerns software quality assessment, ​ software maintenance and evolution, program comprehension,​ design patterns detection for reverse engineering,​ code smell detection through machine learning techniques and empirical analysis in software engineering. She also interested in  exploiting complex network analysis in software evolution. She is a member of IEEE Computer Society. [[http://​essere.disco.unimib.it/​|{{:​francesca.jpg?​nolink&​100 |http://​essere.disco.unimib.it/​}}]] Francesca Arcelli Fontana worked in Italy at University of Milano, University of Salerno and University of Sannio. Currently, she  is Associate Professor of software engineering at the Department of Computer Science of the University of Milano Bicocca, ​ where she works in the area of  software evolution and reverse engineering and she leads the Evolution of Software SystEms and Reverse Engineering Lab. (ESSeRE). The actual research activity principally concerns software quality assessment, ​ software maintenance and evolution, program comprehension,​ design patterns detection for reverse engineering,​ code smell detection through machine learning techniques and empirical analysis in software engineering. She also interested in  exploiting complex network analysis in software evolution. She is a member of IEEE Computer Society.
  
-==== Tools Track Co-chairs ​====+==== Tools Track Co-chair ====
  
 [[http://​msuweb.montclair.edu/​~hillem/​|{{:​emily.jpg?​nolink&​100 |http://​msuweb.montclair.edu/​~hillem/​}}]] Today'​s software is large and complex, with systems consisting of millions of lines of code. New developers to a software project face significant challenges in locating code related to their maintenance tasks of fixing bugs or adding new features. Developers can simply be assigned a bug and told to fix it---even when they have no idea where to begin. In fact, research has shown that a developer typically spends more time locating and understanding code during maintenance than modifying it. Emily Hill works to significantly reduce the cost of software maintenance by reducing the time and effort to find and understand the code relevant to a software maintenance task. Emily'​s primary research interests are in software engineering;​ specifically,​ her work focuses on reducing software maintenance costs through building intuitive software engineering and program comprehension tools. Her research is inter-disciplinary and combines aspects of software engineering,​ program analysis, natural language processing, computational linguistics,​ information retrieval, text mining, and machine learning. ​ [[http://​msuweb.montclair.edu/​~hillem/​|{{:​emily.jpg?​nolink&​100 |http://​msuweb.montclair.edu/​~hillem/​}}]] Today'​s software is large and complex, with systems consisting of millions of lines of code. New developers to a software project face significant challenges in locating code related to their maintenance tasks of fixing bugs or adding new features. Developers can simply be assigned a bug and told to fix it---even when they have no idea where to begin. In fact, research has shown that a developer typically spends more time locating and understanding code during maintenance than modifying it. Emily Hill works to significantly reduce the cost of software maintenance by reducing the time and effort to find and understand the code relevant to a software maintenance task. Emily'​s primary research interests are in software engineering;​ specifically,​ her work focuses on reducing software maintenance costs through building intuitive software engineering and program comprehension tools. Her research is inter-disciplinary and combines aspects of software engineering,​ program analysis, natural language processing, computational linguistics,​ information retrieval, text mining, and machine learning. ​
  
en/scientific_committee.1423856160.txt.gz · Last modified: 2015/02/13 14:36 by yann