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Audris Mockus将来我校进行学术报告

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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.

主要内容
  • 学术报告
时间 2009-03-31
起始时间 10:00 am 结束时间 11:30 am
地点 北京大学理科一号楼1131
参与人员 全体师生
把事件添加到日历 vCal
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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:

Empirical estimates of software availability of deployed systems

 

Constructing universal version history

 

TA-RE: an exchange language for mining software repositories

 

2005:

Refactoring for Changeability: A Way to Go?

 

Predictors of customer perceived software quality

 

Report on MSR 2004: International workshop on mining software repositories

2004:

 

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

 

Using version control data to evaluate the impact of software tools: a case study of the version editor

 

Expertise browser: a quantitative approach to identifying expertise

 

Visualizing Software Changes

 

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:

Distance, dependencies, and delay in a global collaboration

 
 
 
 
 
 
1999:
 

 

1998:

Inferring Change Effort from Configuration Management Databases

 


A Web laboratory for software data analysis

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

 

An example of the estimation and display of a smoothly varying function of time and space: the incidence of the disease mumps

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