Greetings,
We are pleased to announce the 7.1 stable release of Hackystat.
Version 7.1 includes the following major enhancements:
* New modular, docbook-based User, Administrator, and Developer guides.
Links to them available at: <http://www.hackystat.org/>
* Improvements to hackyApp_BuildAnalysis.
* Improvements to hackyInstaller.
* The usual million bug fixes, many documented at:
<http://hackydev.ics.hawaii.edu:8080/secure/IssueNavigator.jspa?reset=true&pid=10000&fixfor=10061>
In addition, you might be interested in the following two recent
Hackystat-related papers:
(1) Actual Process: A Research Program, Lutz Prechelt and Sebastian Jekutsch and Philip
M. Johnson, Submitted to the 2006 Workshop on Software Process, May, 2006.
Abstract: Most process research relies heavily on the use of terms and concepts whose
validity depends on a variety of assumptions to be met. As it is difficult to guarantee
that they are met, such work continually runs the risk of being invalid. We propose a
different and complementary approach to understanding process: Perform all description
bottom-up and based on hard data alone. We call the approach actual process and the data
actual events. Actual events can be measured automatically. This paper describes what has
been done in this area already and what are the core problems to be solved in the future.
URL: <http://csdl.ics.hawaii.edu/techreports/06-01/06-01.pdf>
(2) Automated recognition of low-level process: A pilot validation study of Zorro for
test-driven development, Hongbing Kou and Philip M. Johnson, Submitted to the 2006
Workshop on Software Process, May, 2006.
Abstract: Zorro is a system designed to automatically determine whether a developer is
complying with the Test-Driven Development (TDD) process. Automated recognition of TDD
could benefit the software engineering community in a variety of ways, from pedagogical
aids to support the learning of test-driven design, to support for more rigorous
empirical studies on the effectiveness of TDD in practice. This paper presents the Zorro
system and the results of a pilot validation study, which shows that Zorro was able to
recognize test-driven design episodes correctly 89% of the time. The results also
indicate ways to improve Zorro's classification accuracy further, and provide evidence
for the effectiveness of this approach to low-level software process recognition.
URL: <http://csdl.ics.hawaii.edu/techreports/06-02/06-02.pdf>
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The public server running this release is available at:
<http://hackystat.ics.hawaii.edu/>
The developer services site provides downloads and documentation:
<http://www.hackystat.org/>
To subscribe or unsubscribe from the Hackystat mailing lists, use the ListServ
web
application at http://listserv.hawaii.edu/, or email [EMAIL PROTECTED] and ask him to do
it for you.
Cheers,
Philip
