In software maintenance, both product metrics and process metrics are required to predict faults effectively. However, process metrics cannot be always collected in practical situations. To enable accurate fault prediction without process metrics, we define a new metric, ImpactScale. ImpactScale is the quantified value of change impact, and the change propagation model for ImpactScale is characterized by probabilistic propagation and relation-sensitive propagation. To evaluate ImpactScale, we predicted faults in two large enterprise systems using the effort-aware models and Poisson regression. The results showed that adding ImpactScale to existing product metrics increased the number of detected faults at 10% effort (LOC) by over 50%. ImpactScale also improved the predicting model using existing product metrics and dependency network measures.

The design and implementation of a silicon compiler system for video-rate digital filters are presented. The compiler is capable of mapping arbitrary linear filters, given in the form of a ratio of polynomials in Z/sup -1/ or signal flow graph, into compact VLSI layouts. Filters from actual video processing systems are synthesized to demonstrate the effectiveness of the compiler.>

A silicon compiler for generating IIR filter integrated circuits based on the lattice wave digital filter structure is presented. A novel architecture has been developed to minimize the chip area while achieving a high throughput. A fifth-order filter synthesized with the compiler measures 4.17 mm/sup 2/ and has an estimated sample rate of at least 60 MHz in 0.8 mu m BiCMOS gate-array technology. This represents an order of magnitude improvement over the lattice wave digital filter compiler.>

A functional compiler system for the implementation of high-speed finite impulse-response (FIR) digital filters on gate-array ICs is presented. The system is capable of implementing complex digital filters directly from frequency-domain specifications. Fast turnaround and sample rates in excess of 100 MHz are achieved by using a combination of architectural optimization and advanced 0.8- mu m BiCMOS gate-array technology. A 64-tap FIR digital filter synthesized using this new functional compiler system is presented. It has been fabricated and tested fully functional at a sample frequency of 100 MHz.>

This paper presents a knowledge-based approach to design a portable natural language interface to database systems, called KID (Knowledge-based Interface to Database systems). To free the user from the need to know about query languages and databases, and to allow the user to access databases in natural language, KID incorporates a knowledge base called the world model (WM), which contains a domain model, linguistic knowledge, and database mapping knowledge. To transport KID to a new domain, the user has only to build a new WM for the domain; the WM is easy for the user to define and understand. KID's processing of the user's query using the WM is transparent enough to the user to enable easy debugging of the WM. Encapsulating all the domain-specific knowledge into the WM makes KID portable. This paper discusses the WM design and KID's knowledge-based processing of a query using the WM.