JayWalker is an open-source build and deployment analysis tool which interrogates a Java application's compiled artifacts and generates static and interactive graphical reports from it. In turn, a software professional can interpret and use these reports to improve software quality and to understand the current state of the software application in question.
Although there are quite a few dependency analysis tools on the market, JayWalker is different because:
* It walks the class files rather than the source files
* It can interrogate nested archives (i.e. a JAR within a WAR within an EAR file)
* It can detect a variety of conflicts that can be identified at build and deployment time in an effort to minimize runtime dependency errors.
* It can be incorporated into a continuous integration solution so conflicts can be identified as they are introduced into source code control rather than addressing errors at runtime.
* It can be run standalone via the commandline on a system which just has a JRE installed
* Other dependency tools are package or class specific. JayWalker has support for archives, packages, and classes.
* Report attributes can be toggled on or off
* Walking across classlist elements can be done in several different ways:
o Deep (default) - recursively follow all paths
o Shallow - recursively follow paths up to and including a boundary element
o System - recursively follow paths up to a boundary element which is not part of the deployment, but is provided by a server or environment.
Design of Clinical Trials for Treatment of Pain, Development of Clinical Trials, Selected Qualitative Methods, Within-Patient Studies: Cross-over Trials & n-of-1 Studies, Clinical Economics, etc.
With this Web page, we are opening some aspects of hakia R&D to the view of our users. We undertook highly specific research tasks solely dedicated to the advancement of the core-competency in Web search. The main challenge is to make science work in a co
P. Adamopoulos. ICIS, Association for Information Systems, (2013)The findings of our analysis illustrate that Professor(s) is the most important factor in online course retention and has the largest positive effect on the probability of a student to successfully complete a course. The sentiment of students for Assignments and Course Material also has positive effects on the successful completeness of a course whereas the Discussion Forum has a positive effect on the probability to partially complete a course. Furthermore, self-paced courses have a negative effect, compared to courses that follow a specific timetable. In addition, the difficulty, the workload, and the duration of a course have a negative effect. On the other hand, for the more difficult courses, self-paced timetable, longer duration in weeks, and more workload have a positive effect on the probability to successfully complete a course. Besides, final exams and projects, open textbooks, and peer assessment have also positive effects. Moreover, whether a certificate is awarded upon the successful completion of a course also affects retention. Additionally, the better a university is considered (i.e. higher ranking), the more likely that a student will successfully complete a course. Further, our results illustrate that the courses which belong to the academic disciplines of Business and Management, Computer Science, and Science have a positive significant effect in contrast to courses in other disciplines (i.e. Engineering, Humanities, and Mathematics). Finally, attrition was not found to be related with student characteristics (i.e. gender, formal education)..
N. Admodisastro, and G. Kotonya. Proceedings of the 2011 European Conference on Software Architecture (ECSA), volume 6903/2011 of Lecture Notes in Computer Science, page 180-189. Springer Verlag, (2011)
M. Aehnelt, H. Diener, and A. Müller. Tagungsband 10.~Fachtagung Digital Engineering zum Planen, Testen und Betreiben technischer Systeme, 16.~IFF-Wissenschaftstage, page 139--146. Magdeburg, Fraunhofer-Institut für Fabrikbetrieb und -Automatisierung (IFF), (June 2013)
M. Aehnelt, H. Schulz, and B. Urban. Advances in Visual Computing: 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, Proceedings, Part II, volume 8034 of Lecture Notes in Computer Science, Springer, Berlin, (2013)