White Papers

Software Specification Discovery: A New Data Mining Approach

Overview This paper have proposed a new data mining approach, namely specification discovery, which is a process for automated extraction of software specification from program artifacts. Three separate threads of work mining different form of specifications (automata, LTL and LSC) from program execution traces have been briefly described. Not only can these specification formalisms be easily understood by software developers, they are also formal enough to be verified by program verifiers. Hence, mining the above specification formalisms can aid both program comprehension and dependability.

Download White Paper

By downloading you agree to our Terms and Conditions. These include information regarding use of your personal data.

Publisher
National University of Singapore
File Format
PDF
Date Published
Sep 19, 2008
Format
White Papers
Topics
Programming Languages, Data Mining - Analysis

Similiar White Papers

An Extensive Examination of Data Structures Using C# 2.0 - Part 1: An Introduction to Data Structures

An Extensive Examination of Data Structures Using C# 2.0 - Part 1: An Introduction to Data Structures

Probably the most common and well-known data structure is the array, which contains a contiguous collection of data item

Publisher: Microsoft  |  Tags: data

Text Mining and PROC KDE to Rank Nominal Data

Text Mining and PROC KDE to Rank Nominal Data

By definition, nominal data cannot be ranked. However, there are circumstances where it is essential to rank nominal dat

Publisher: SAS Institute  |  Tags: data, kde

Assigning ROTC Cadets Into Air Force Specialty Codes Using SAS OR's PROC LP Procedure

Assigning ROTC Cadets Into Air Force Specialty Codes Using SAS OR's PROC LP Procedure

SAS OR is used to solve a variety of Optimization Problems. This paper describes how SAS OR's Proc LP procedure with the

Publisher: SAS Institute

Workforce Preparation: Equipping Undergraduates With SAS Knowledge

Workforce Preparation: Equipping Undergraduates With SAS Knowledge

Knowledge of data structures, data quality, data cleaning, SAS programming, data analysis, technical report preparation,

Publisher: SAS Institute  |  Tags: data, management

Split and Conquer!: Using SAS/QC to Design Quality Into Complex Manufacturing Processes

Split and Conquer!: Using SAS/QC to Design Quality Into Complex Manufacturing Processes

A complex manufacturing process has many stages, with different factors active at different stages. How can one discover

Publisher: SAS Institute

National University of Singapore White Papers

Applying Data Mining Techniques for Traffic Incident Analysis

Applying Data Mining Techniques for Traffic Incident Analysis

Computer-based simulation and visualization tools had helped to evaluate new algorithms for incident detection and strat

Publisher: National University of Singapore  |  Tags: data, data mining, management, real-time

BER Performance of OFDM System in Frequency-Selective Rician Fading With Diversity Reception

BER Performance of OFDM System in Frequency-Selective Rician Fading With Diversity Reception

This paper theoretically studies the Bit Error Rate (BER) performance of OFDM systems with MDPSK modulation for subchann

Publisher: National University of Singapore

XML Benchmarks Put to the Test

XML Benchmarks Put to the Test

The effectiveness of existing XML query languages has been studied by many who focused on the comparison of linguistic f

Publisher: National University of Singapore  |  Tags: benchmarking, data, data management, management

Extending BAN Logic for Reasoning With Modern PKI-Based Protocols

Extending BAN Logic for Reasoning With Modern PKI-Based Protocols

BAN Logic is a well-known authentication logic which, despite other more recent logics and formal methods, remains popul

Publisher: National University of Singapore  |  Tags: authentication, pki

From XML to Semantic Web

From XML to Semantic Web

The present web is existing in the HTML and XML formats for persons to browse. Recently there is a trend towards the sem

Publisher: National University of Singapore  |  Tags: semantic web