8982250
SPEX: A Method for Specifying the Dynamics of Structured Specifications Including Control Information
9037240
Empirical evaluation of a fuzzy logic-based software quality prediction model
Software inspection, due to its repeated success on industrial applications, has now become an industry standard practice. Recently, researchers began analyzing inspection data to obtain insights on how software processes can be improved. For example, project managers need to identify potentially error-prone software components so that limited project resource may be optimally allocated. This paper proposes an automated and fuzzy logic-based approach to satisfy such a need. Fuzzy logic offers significant advantages over other approaches due to its ability to naturally represent qualitative aspect of inspection data and apply flexible inference rules. In order to empirically evaluate the effectiveness of our approach, we have analyzed published inspection data and the ones collected from two separate inspection experiments which we had conducted. χ2 analysis is applied to statistically demonstrate validity of the proposed quality prediction model.
42278030
Hybrid knowledge-based architecture for building an intelligent nondestructive signal inspection system
The paper deals with the methods of implementing an intelligent inspection system for monitoring the health of any device or material using a nondestructive signal. A hybrid knowledge representation and processing architecture is proposed as a solution to problems encountered in the processes of the nondestructive inspection. In the proposed system, to modularize knowledge elicitation and to make knowledge processing reliable, the task of inspection is delegated to two subsystems each of which has a proper knowledge processing scheme to match the properties of its own task. The front-end subsystem which detects the signal patterns (events) for any harmful flaw is built by integrating a fuzzified syntactic pattern recognition concept and a neural network concept. The back-end subsystem which evaluates the characteristics of the events is based upon object-oriented rule base system concepts. The methods of integrating the approaches in the proposed architecture are also proposed in the paper. The proposed architecture is verified by developing and evaluating a prototype which automatically interprets eddy current Lissajous signals to inspect the state of tubes used in nuclear power plants.
16141068
Improving cohesion metrics for classes by considering dependent instance variables
The existing cohesion metrics for classes do not consider the characteristics of dependent instance variables that are commonly used in a class and, thus, do not properly reflect the cohesiveness of the class. This paper presents an approach for improving the cohesion metrics by considering the characteristics of the dependent instance variables in an object-oriented program.
15507852
Testing of concurrent programs based on message sequence charts
Most prior work on specification-based testing of concurrent programs have postulated an equivalence relation between specifications and programs. However the equivalence relation, which requires a specification and a program to encompass the same set of synchronization sequences, is not well-suited for resting concurrent programs against partial and nondeterministic specifications. We present a new specification-based approach to testing concurrent programs against Message Sequence Charts (MSCs) with partial and nondeterministic semantics. New conformance relations, named behavioral conformance and nondeterminacy conformance, are defined and the details of the proposed testing methodology based on the conformance relations are given. The effectiveness of our testing approach is investigated using a telephone switching system example.
31388642
Modeling and Testing Agent Systems Based on Statecharts
This paper presents a testing method for an agent system against its specification described with Statecharts. Here, an agent system means an implementation of an agent application. Its testing method generates test sequences from the specification and checks whether the agent system behaves in accordance with the specification by executing the test sequences. For specification-based testing, we have extended Statecharts in order to describe the behavior of an agent system according to the concept of Agent UML. Then, we propose an approach to generating test sequences from the extended Statecharts. Our approach makes effective use of partial order methods for considering representative sequences of equivalent classes divided from all possible sequences. Therefore, we can efficiently manage a large number of possible sequences caused by the agents’ autonomy. As a result, we can reduce the number of test sequences and the number of executions to be tested.
53222699
Simulation acceleration of transaction-level models for SoC with RTL sub-blocks
8120985
SCATOMi: scheduling driven circuit partitioning algorithm for multiple FPGAs using time-multiplexed, off-chip, multicasting interconnection architecture
FPGA-based logic emulator with large gate capacity generally comprises a large number of FPGAs connected in mesh or crossbar topology. However, gate utilization of FPGAs and speed of emulation are limited by the number of signal pins among FPGAs and the interconnection architecture of the logic emulator. The time-multiplexing of interconnection wires is required for multiFPGA system incorporating several state-of-the-art FPGAs. We propose a circuit partitioning algorithm called SCATOMi(scheduling driven algorithm for TOMi) for multiFPGA system incorporating four to eight FPGAs where FPGAs are interconnected through TOMi(time-multiplexed, off-chip, multicasting interconnection). SCATOMi improves the performance of TOMi architecture by limiting the number of inter-FPGA signal transfers on the critical path and considering the scheduling of inter-FPGA signal transfers. The performance of the partitioning result of SCATOMi is 5.5 times faster than traditional partitioning algorithms. Experiments on architecture comparison show that, by adopting the proposed TOMi interconnection architecture along with SCATOMi, the pin count is reduced to 15.2%-81.3% while the critical path delay is reduced to 46.1%-67.6% compared to traditional architectures including mesh, crossbar and VirtualWire architecture.
3218907
Assignment Copy Detection Using Neuro-genetic Hybrids
It is difficult for teachers to find out copies in their program assignments. We propose a method which detects the similarity of assignments. We first transform a program into a sequence of tokens and provide it to an artificial neural network. The neural network is optimized by a hybrid genetic algorithm. Experimental results showed considerable improvement on artificial neural networks.
209399014
Cooperative tracking with binary-detection sensor networks.
We present a novel method for tracking the movement of people or vehicles in open outdoor environments using sensor networks. Unlike other sensor network-based methods, which depend on determining distance to the target or the angle of arrival of the signal, our cooperative tracking approach requires only that a sensor be able to determine if an object is somewhere within the maximum detection range of the sensor. We propose cooperative tracking as a method for tracking moving objects and extrapolating their paths in the short term. By combining data from neighboring sensors, this approach enables tracking with a resolution higher than that of the individual sensors being used. We employ statistical estimation and approximation techniques to further increase the tracking precision, and to enable the system to exploit the tradeoff between accuracy and timeliness of the results. We analyze the behavior of the cooperative tracking algorithm through simulation, focusing on the effects of approximation techniques on the quality of estimates achieved. This work focuses on acoustic tracking, however the presented methodology is applicable to any sensing modality where the sensing range is relatively
19995952
ATOMi: an algorithm for circuit partitioning into multiple FPGAs using time-multiplexed, off-chip, multicasting interconnection architecture
Logic emulation is so far the fastest method to verify the system functionality in the gate level before chip fabrication. Field-programmable gate array (FPGA)-based logic emulator with large gate capacity generally comprises a large number of FPGAs or special processors connected in mesh or crossbar topology. However, gate utilization of FPGAs and speed of emulation are limited by the number of signal pins among FPGAs and the interconnection architecture of the logic emulator. This paper first describes a new interconnection architecture called TOMi (Time-multiplexed, Off-chip, Multicasting interconnection) and proposes a circuit partitioning algorithm called ATOMi (Algorithm for TOMi) for multi-FPGA system incorporating four to eight FPGAs where FPGAs are interconnected through TOMi. ATOMi reduces the number of off-chip signal transfers to optimize the performance for multi-FPGA system implemented by TOMi. Experimental results using Partitioning93 benchmarks show that, by adopting the proposed TOMi interconnection architecture along with ATOMi, the pin count is reduced to 14.4%-88.6% while the critical path delay is reduced to 66.1%-90.1% compared to traditional architectures including mesh, crossbar, and VirtualWire architecture.