Advanced Software Development Workstation Project, phase 3

ACCESS provides a generic capability to develop software information system applications which are explicitly intended to facilitate software reuse. In addition, it provides the capability to retrofit existing large applications with a user friendly front end for preparation of input streams in a way that will reduce required training time, improve the productivity even of experienced users, and increase accuracy. Current and past work shows that ACCESS will be scalable to much larger object bases

Encyclopedia of Software Components

Intelligent browsing through a collection of reusable software components is facilitated with a computer having a video monitor and a user input interface such as a keyboard or a mouse for transmitting user selections, by presenting a picture of encyclopedia volumes with respective visible labels referring to types of software, in accordance with a metaphor in which each volume includes a page having a list of general topics under the software type of the volume and pages having lists of software components for each one of the generic topics, altering the picture to open one of the volumes in response to an initial user selection specifying the one volume to display on the monitor a picture of the page thereof having the list of general topics and altering the picture to display the page thereof having a list of software components under one of the general topics in response to a next user selection specifying the one general topic, and then presenting a picture of a set of different informative plates depicting different types of information about one of the software components in response to a further user selection specifying the one component

The use of non-formal information in reverse engineering and software reuse

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Within the field of software maintenance, both reverse engineering and software reuse have been suggested as ways of salvaging some of the investment made in software that is now out of date. One goal that is shared by both reverse engineering and reuse is a desire to be able to redescribe source code, that is to produce higher level descriptions of existing code. The fundamental theme of this thesis is that from a maintenance perspective, source code should be considered primarily as a text. This emphasizes its role as a medium for communication between humans rather than as a medium for human-computer communication. Characteristic of this view is the need to incorporate the analysis of non-formal information, such as comments and identifier names, when developing tools to redescribe code. Many existing tools fail to do this. To justify this text-based view of source code, an investigation into the possible use of non-formal information to index pieces of source code was undertaken. This involved attempting to assign descriptors that represent the code's function to pieces of source code from IBM's CICS project. The results of this investigation support the view that the use of nonformal information can be of practical value in redescribing source code. However, the results fail to suggest that using non-formal information will overcome any of the major difficulties associated with developing tools to redescribe code. This is used to suggest future directions for research

Making navigation easier in object-oriented programming systems

It has been reported that non-expert users have difficulties in finding reusable software components in large object-oriented programming systems and there is a need for help tools. The research reported in this thesis addresses this issue. Described in this thesis is the design of a tool called BRRR, which aims to help non-expert users overcome such difficulties. It is developed for Smalltalk-80, the target system of this research.BRRR is a query tool with a browsing capacity. It allows users to find necessary components by query. Its design is based on the 'retrieval by reformulation' paradigm (Williams, 1984) which was originally used in the domain of information retrieval. This paradigm allows users to incrementally specify a query by reformulation. When users specify an initial query, BRRR presents the users with an example component which satisfies the query. The users can then construct further queries by using the information presented by the system. In this way, users who are not familiar with the system or who do not know exactly what they want can be guided towards the appropriate information.During this research, two versions of BRRR were developed: BRRRl and BRRR2. BRRRl was developed initially, based on the 'retrieval by reformulation' principle. After its implementation, a formative, empirical evaluation was conducted on it with a group of users. Based on the findings of the evaluation, BRRR2, an improved version of BRRR1 was developed. BRRR2 incorporates enhanced classification methods and explanation facilities. This new version of the tool was then evaluated empirically with a group of ten users.The empirical evaluation of BRRR2 showed encouraging results. It demonstrates that the 'retrieval by reformulation' approach used in this research could be used successfully in helping users find reusable software components in object-oriented programming systems

The application of morpho-syntatic language processing to effective information retrieval

The fundamental function of an information retrieval system is to retrieve texts or documents from a database in response to a user’s request for information, such that the content of the retreived documents will be relevant to the user’s original information need. This is accomplished through matching the user’s information request against the texts in the database in order to estimate which texts are relevant. In this thesis I propose a method for using current natural language processing techniques for the construction of a text representation to be used in an information retrieval system. In order to support this proposal I have designed a matching algorithm specifically for performing the retrieval task of matching user queries against texts in a database, using the proposed text representation. Having designed this text representation and matching algorithm, I then constructed an experiment to investigate the effectiveness of the algorithm at matching phrases. This experiment involved the use of standard statistical methods to compare the phrase matching capabilities of the proposed matching algorithm to a sample of information retrieval users performing the same task. The results of this evaluation experiment allow me to comment first of all on the effectiveness of the phrase matching algorihtm that I have designed and more generally, on the usefulness of incorporating natural language processing techniques into information retrieval systems