Preventing SQL injection attacks using AMNESIA
Proceedings of the 28th international conference on Software engineering
Recognizing behavioral patterns atruntime using finite automata
Proceedings of the 2006 international workshop on Dynamic systems analysis
Improving test case generation for web applications using automated interface discovery
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Detecting large number of infeasible paths through recognizing their patterns
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Controlled dynamic performance analysis
WOSP '08 Proceedings of the 7th international workshop on Software and performance
Using common Lisp to prototype offline work in web applications for rich domains
Proceedings of the 6th European Lisp Workshop
BPGen: an automated breakpoint generator for debugging
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
SIF: a selective instrumentation framework for mobile applications
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
DUA-forensics: a fine-grained dependence analysis and instrumentation framework based on Soot
Proceedings of the 2nd ACM SIGPLAN International Workshop on State Of the Art in Java Program analysis
| Hi-index | 0.01 |
The heterogeneity and dynamism of today's software systems make it difficult to assess the performance, correctness, or security of a system outside the actual time and context in which it executes. As a result, there is an increasing interest in techniques for monitoring and dynamically analyzing the runtime behavior of an application. These techniques are usually implemented using ad-hoc solutions that result in tools that are hard to develop, maintain, and reuse. To address this problem, we present a generic framework that enables the collection of different kinds of runtime information, such as data about the execution of various code entities and constructs. The framework lets users easily define how to process the collected information and is extensible to collect new types of information. We implemented the framework for the Java language as a set of Eclipse plugins. The plug-ins provide an intuitive GUI through which the functionality of the framework can be exploited. We also present an example of use of our framework and plugins that helps illustrate their functionality and shows their ease of use.