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
T. Nasukawa, und J. Yi. Proceedings of the First International Conference on Knowledge Capture
(K-CAP 2001), October 21-23, 2001, Victoria, BC, Canada, (2001)
S. Nazema, S. Subhan, und S. Deshmukh. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (3):
1662--1668(März 2015)
A. Nenkova, und R. Passonneau. Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004, Seite 145--152. Boston, Massachusetts, USA, Association for Computational Linguistics, (2004)
V. Ng, S. Dasgupta, und S. Arifin. Proceedings of the COLING/ACL Main Conference Poster Sessions, Seite 611--618. Sydney, Australia, Association for Computational Linguistics, (Juli 2006)
H. Nguyen, D. Bozhkov, Z. Ahmadi, N. Nguyen, und T. Doan. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, (Juli 2022)
A. Nierop. Psychometric Methodology. Proceedings of the 7th European Meeting of the Psychometric Society in Trier<., Gustav Fischer Verlag, Stuttgart and New York, (1993)
K. Nigam, und M. Hurst. Proceedings of the AAAI Spring Symposium on Exploring Attitude and
Affect in Text: Theories and Applications, Standford, California, (2004)