SAGA: A project to automate the management of software production systems

The Software Automation, Generation and Administration (SAGA) project is investigating the design and construction of practical software engineering environments for developing and maintaining aerospace systems and applications software. The research includes the practical organization of the software lifecycle, configuration management, software requirements specifications, executable specifications, design methodologies, programming, verification, validation and testing, version control, maintenance, the reuse of software, software libraries, documentation, and automated management

Structure Selection from Streaming Relational Data

Statistical relational learning techniques have been successfully applied in a wide range of relational domains. In most of these applications, the human designers capitalized on their background knowledge by following a trial-and-error trajectory, where relational features are manually defined by a human engineer, parameters are learned for those features on the training data, the resulting model is validated, and the cycle repeats as the engineer adjusts the set of features. This paper seeks to streamline application development in large relational domains by introducing a light-weight approach that efficiently evaluates relational features on pieces of the relational graph that are streamed to it one at a time. We evaluate our approach on two social media tasks and demonstrate that it leads to more accurate models that are learned faster

CASL for CafeOBJ Users

Casl is an expressive language for the algebraic specificationof software requirements, design, and architecture. It has been developed by an open collaborative effort called CoFI (Common Framework Initiative for algebraic specification and development). Casl combines the best features of many previous main-stream algebraic specification languages, and it should provide a focus for future research and development in the use of algebraic techniques, as well facilitating interoperability ofexisting and future tools. This paper presents Casl for users of the CafeOBJ framework, focusing on the relationship between the two languages. It first considers those constructs of CafeOBJ that have direct counterparts in Casl, and then (briefly) those that do not. It also motivates various Casl constructsthat are not provided by CafeOBJ. Finally, it gives a concise overview of Casl, and illustrates how some CafeOBJ specifications may be expressed in Casl

TEXT EDITING AND BEYOND: A STUDY IN LOGIC MODELING

This paper presents a logic modeling exercise in which we develop test and implement a logic model for a test editor and use it to test existing test editing software. We begin by presenting a first order Horn logic axiomatization of a text editor by providing domain equations for the primitive operations insert, delete and character retrieval. We show that this logic model captures the essential aspects of the text editing task and how more complex features are built using these primitives. We discuss possible implementations and conclude that any operational semantics - the set of algorithms that perform the task - must be strongly related to the logic model we present. In other words, each operational semantics constitutes a model of the logic theory Next, we illustrate the usefulness of the model by implementing a basic text editing system and testing the correctness of an existing text editor. We conclude by describing how we are integrating these modeling techniques into a larger and more complex knowledge-based system.Information Systems Working Papers Serie

The use of data-mining for the automatic formation of tactics

This paper discusses the usse of data-mining for the automatic formation of tactics. It was presented at the Workshop on Computer-Supported Mathematical Theory Development held at IJCAR in 2004. The aim of this project is to evaluate the applicability of data-mining techniques to the automatic formation of tactics from large corpuses of proofs. We data-mine information from large proof corpuses to find commonly occurring patterns. These patterns are then evolved into tactics using genetic programming techniques

CBR and MBR techniques: review for an application in the emergencies domain

The purpose of this document is to provide an in-depth analysis of current reasoning engine practice and the integration strategies of Case Based Reasoning and Model Based Reasoning that will be used in the design and development of the RIMSAT system. RIMSAT (Remote Intelligent Management Support and Training) is a European Commission funded project designed to: a.. Provide an innovative, 'intelligent', knowledge based solution aimed at improving the quality of critical decisions b.. Enhance the competencies and responsiveness of individuals and organisations involved in highly complex, safety critical incidents - irrespective of their location. In other words, RIMSAT aims to design and implement a decision support system that using Case Base Reasoning as well as Model Base Reasoning technology is applied in the management of emergency situations. This document is part of a deliverable for RIMSAT project, and although it has been done in close contact with the requirements of the project, it provides an overview wide enough for providing a state of the art in integration strategies between CBR and MBR technologies.Postprint (published version