Sofern bei der Veranstaltung nichts anderes angegeben ist:
Zeit: Beginn 19:00 (Einlass i. d. R. ab 18:30)
Ort: Hotel Eden-Wolff, Arnulfstraße 4, 80335 München
Siehe auch Meetup https://www.meetup.com/de-DE/Java-User-Group-Munchen-JUGM/
Einlass 19:00 - Beginn 19:15
Radically speed up developers in
finding software errors
It is known that developers spend up to 60-80% of
their time on searching for relevant code files during maintenance
• Given the observation of a bug, e.g. via a bug report,
where is it located in the source code?
We invented a completely new search algorithm and offer it as
a fully automated pluggable tool named ConCodeSe.
• Given an error report, it suggests (in ranked order, like
a web search engine) which source code files may need to be fixed
On average we find one or more affected source files in the top-10
ranked files for 76% of the bug reports.
• 1 out 1: 44%
• 1 out of 5: 69%
• 1 out of 10: 76%
Above performance may translate to reduced time and cost to correct
errors, for example:
• 3 days to fix a bug, more than 1 day of savings
• 3 x 8hrs = 24hrs – 44% = 10 hours >= 1 day (8hrs)
These savings may also bring emotional benefits for developers,
• Improved confidence and productivity of new or outsourced
staff who are not familiar with the codebase
• Automated integration with Jira bug tracker and existing
IDEs like Eclipse
ConCodeSe benefits most the companies that use Jira software
to manage their complex application's life cycle processes, especially
when high developer turnover may exit. Additionally, due to low
internal costs, it provides competitive advantage when writing
best price RFP offerings.
During this presentation, I will show a few slides on how the
tool is originated and what it does, then do an online demo followed
by reporting the two proof of concept studies performed in different
customers where the tool is currently in use.