Holistic debugging - enabling instruction set simulation for software quality assurance

We present holistic debugging, a novel method for observing execution of complex and distributed software. It builds on an instruction set simulator, which provides reproducible experiments and non-intrusive probing of state in a distributed system. Instruction set simulators, however, only provide low-level information, so a holistic debugger contains a translation framework that maps this information to higher abstraction level observation tools, such as source code debuggers. We have created Nornir, a proof-of-concept holistic debugger, built on the simulator Simics. For each observed process in the simulated system, Nornir creates an abstraction translation stack, with virtual machine translators that map machine-level storage contents (e.g. physical memory, registers) provided by Simics, to application-level data (e.g. virtual memory contents) by parsing the data structures of operating systems and virtual machines. Nornir includes a modified version of the GNU debugger (GDB), which supports non-intrusive symbolic debugging of distributed applications. Nornir's main interface is a debugger shepherd, a programmable interface that controls multiple debuggers, and allows users to coherently inspect the entire state of heterogeneous, distributed applications. It provides a robust observation platform for construction of new observation tools

Extended OCL for Goal Monitoring

Monitoring human-computer interaction aids the analysis for understanding how well software meets its purpose. In particular, monitoring human-computer interactions with respect to a user's goal model helps to determine user satisfaction. By formalizing a goal model, runtime monitors can be automatically derived. The REQMON system monitors the satisfaction of goal models. Recently, an OCL compiler was developed for REQMON. The OCL was extended slightly to address temporal and real-time constraints. Now, goal models can be represented in the extended OCL, from which runtime monitors can be compiled. The resulting REQMON system appears to be easier to use comes the abstract

Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing in Wireless Sensor Networks

There are many challenges when designing and deploying wireless sensor networks (WSNs). One of the key challenges is how to make full use of the limited energy to prolong the lifetime of the network, because energy is a valuable resource in WSNs. The status of energy consumption should be continuously monitored after network deployment. In this paper, we propose coverage and connectivity aware neural network based energy efficient routing in WSN with the objective of maximizing the network lifetime. In the proposed scheme, the problem is formulated as linear programming (LP) with coverage and connectivity aware constraints. Cluster head selection is proposed using adaptive learning in neural networks followed by coverage and connectivity aware routing with data transmission. The proposed scheme is compared with existing schemes with respect to the parameters such as number of alive nodes, packet delivery fraction, and node residual energy. The simulation results show that the proposed scheme can be used in wide area of applications in WSNs.Comment: 16 Pages, JGraph-Hoc Journa

Testing Temporal Logic Properties in Distributed Systems

The concept of event-based behavioral abstraction (EBBA) is shown to facilitate the Design For Testability (DFT) if the set of events is well-chosen. We provide a predefined set of events which, together with linear-time temporal logic, can be used for expressing behavioral properties in object-oriented distributed systems. This allows automizing several steps in the testing process: instrumenting the source code, constructing test-oracles and generating an observer. Taking an industrial example as basis, we discuss how our proposal can be integrated into the software design- and testing process

Design and Implementation of a Tracer Driver: Easy and Efficient Dynamic Analyses of Constraint Logic Programs

Tracers provide users with useful information about program executions. In this article, we propose a ``tracer driver''. From a single tracer, it provides a powerful front-end enabling multiple dynamic analysis tools to be easily implemented, while limiting the overhead of the trace generation. The relevant execution events are specified by flexible event patterns and a large variety of trace data can be given either systematically or ``on demand''. The proposed tracer driver has been designed in the context of constraint logic programming; experiments have been made within GNU-Prolog. Execution views provided by existing tools have been easily emulated with a negligible overhead. Experimental measures show that the flexibility and power of the described architecture lead to good performance. The tracer driver overhead is inversely proportional to the average time between two traced events. Whereas the principles of the tracer driver are independent of the traced programming language, it is best suited for high-level languages, such as constraint logic programming, where each traced execution event encompasses numerous low-level execution steps. Furthermore, constraint logic programming is especially hard to debug. The current environments do not provide all the useful dynamic analysis tools. They can significantly benefit from our tracer driver which enables dynamic analyses to be integrated at a very low cost.Comment: To appear in Theory and Practice of Logic Programming (TPLP), Cambridge University Press. 30 pages

Aspect-Oriented Programming for Test Control

Distributed and multithreaded systems are usually much more complex to analyze or test due to the nondeterminism involved. A possible approach to testing nondeterministic systems is to direct the execution of the program under test to take a certain path for each test, so that a unique output can be observed. Considering specification-based testing, we assume that a test case is given together with a test constraint for directing the internal nondeterministic choices. To instruct the program under test to execute according to a given test constraint, the program under test needs to communicate with the tester. In this thesis, we propose to use the features in Aspect-Oriented Programs to realize such communication. This solution does not require the availability of the source code of the program under test. We provide an automated translation from a test constraint to a set of aspects using AspectJ