Audris Mockus将来我校进行学术报告
讲者Audris Mockus博士,在2007年Communications of the ACM公布的研究机构排名中,被评为全球软件工程研究人员50佳,并在50佳中位居第9.
Abstract
Code ownership transfer or succession is a crucial ingredient in open source code
reuse and in offshore projects. Measuring succession can help understand factors
that affect the success of such transfers and suggest ways to make them more
efficient. We propose and evaluate several methods to measure succession based on
the chronology and traces of developer activities. Using ten instances of offshore
succession identified through interviews, we find that the best succession measure
can accurately pinpoint the most likely mentors. We model the productivity ratio
of more than 1000 developer pairs involved in the succession to test conjectures
formulated using the organizational socialization theory and find the ratio to
decrease for instances of offshore and for mentors who have worked primarily on a
single project or have transferred ownership for their non-primary project code,
thus supporting a theory-based conjectures and providing practical suggestions on
how to improve succession.
Biography
Audris Mockus designs data mining methods to summarize and augment the system
evolution data, interactive visualization techniques to inspect, present, and
control the systems, and statistical models and optimization techniques to
understand the systems. Audris Mockus received B.S. and M.S. in Applied Mathematics
from Moscow Institute of Physics and Technology in 1988. In 1991 he received M.S.
and in 1994 he received Ph.D. in Statistics from Carnegie Mellon University. He
works at Software Technology Research Department of Avaya Labs. Previously he worked
at Software Production Research Department of Bell Labs. Audris Mockus was a PC
co-chair of the Metrics'2004 and of the Global Software Engineering'07 and served on
the PC of several conferences, including ICSE. He has co-organized the workshop on
Mining Software Repositories and serves on the editorial board of the Transaction of
Software Engineering and of the Empirical Software Engineering.
Audris Mockus相关文章:
2008∶
Interval quality: relating customer-perceived quality to process quality
Socio-technical congruence (STC 2008)
Evaluation of source code copy detection methods on freebsd
2007:
| Large-scale code reuse in open source software |
Large-Scale Code Reuse in Open Source Software
2006:
2004:
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MSR 2004: International Workshop on Mining Software Repositories
2003: Analogy Based Prediction of Work Item Flow in Software Projects: a Case Study
Formulation and preliminary test of an empirical theory of coordination in software engineering
An Empirical Study of Speed and Communication in Globally Distributed Software Development
Understanding and predicting effort in software projects
2002: handiMessenger: Awareness-Enhanced Universal Communication for Mobile Users
Expertise browser: a quantitative approach to identifying expertise
2001: An empirical study of global software development: distance and speed
Challenges of Global Software Development
Making the Software Factory Work: Lessons from a Decade of Experience
Globalization by Chunking: A Quantitative Approach
Does Code Decay? Assessing the Evidence from Change Management Data
2000: |
1998:
Inferring Change Effort from Configuration Management Databases
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Understanding the sources of variation in software inspections
1997:
Understanding the sources of variation in software inspections
1996:
Approximate single linkage cluster analysis of large data sets in high-dimensional spaces
1995:
Predicting a space-time process from aggregate data exemplified by the animation of mumps disease

