An approach to software maintenance support using a syntactic source code analyser data base : this thesis is presented in a partial fulfillment of the requirements for the degree of Master of Arts in Computer Science at Massey University

In this thesis, the development of a software maintenance tool called a syntactic source code analyser (SSCA) is summarised. An SSCA supports other maintenance tools which interact with source code by creating a data base of source information which has links to a formatted version of program source code. The particular SSCA presented handles programs written in a version of COBOL. Before developing a SSCA system, aspects of software maintenance need to be considered. Hence, the scope, definitions and problems of maintenance activities are briefly reviewed and maintenance support through environments, software metrics, and specific tools and techniques examined. A complete maintenance support environment for an application is found to overlap considerably with the application documentation system and shares some tools with development environments. Program source code is also identified as the fundamental documentation of an application and interaction with this source code is a requirement of many maintenance support tools

Security aspects in cloud based condition monitoring of machine tools

In the modern competitive environments companies must have rapid production systems that are able to deliver parts that satisfy highest quality standards. Companies have also an increased need for advanced machines equipped with the latest technologies in maintenance to avoid any reduction or interruption of production. Eminent therefore is the need to monitor the health status of the manufacturing equipment in real time and thus try to develop diagnostic technologies for machine tools. This paper lays the foundation for the creation of a safe remote monitoring system for machine tools using a Cloud environment for communication between the customer and the maintenance service company. Cloud technology provides a convenient means for accessing maintenance data anywhere in the world accessible through simple devices such as PC, tablets or smartphones. In this context the safety aspects of a Cloud system for remote monitoring of machine tools becomes crucial and is, thus the focus of this pape

Towards a Simpler Selection Process for Maintenance Strategies

Recent research at four large manufacturing sites in the North East of England showed that maintenance organisations were failing because they were locked in a cycle of quick fix and mend despite deploying extensive planned maintenance policies. Consequently they were unable to plan and formulate strategies because they did not have the time. Simple and quick tools were needed to select the best maintenance approach for the machines and the plant. Two possible selection tools were developed. Firstly a truth table was produced based on the key characteristics of each maintenance approach and these mapped against simplified failure mode combinations. This offered a quick and easy selection method for machines, based on failure mode patterns. Secondly, the macro level was addressed using a conceptual model employing a 2x2 matrix. This consisted of two axes, the level of machine failures and the level of improvement activity. The resulting framework was used to predict how maintenance organisations would progress from a state of reactive maintenance towards world class. Then informed by the truth table it was possible to select an appropriate maintenance approach which was most suitable for each stage. It is suggested that these two methods offer simple and quick approaches to guide vital maintenance decision making at plants in difficulty. This of course does not preclude the need to develop maintenance strategies but rather facilitates this process by freeing up time and resources

An holistic implementation of lean six sigma methodology on maintenance subsystem

Purpose: One of the main problems relevant with enterprises is to be able to cope with maintenance problems in order to maintain decrease of stoppages, time and economical losses in the production area. In order to acquire an effective and profitable maintenance policy in a production company, there is high demand of methodological strategy to improve the maintenance subsystem. Purpose of this research is to be able to implement the lean six sigma methodology on maintenance subsystem as successfully and supply more effective sustainable maintenance system. Design/methodology/approach: Lean six sigma methodology purpose on eliminating defects and improve the effectiveness of a process. Research methodology is designed according to the purpose and goals of the research which is based on DMAIC tool within the phases those include quality tools relevant with lean six sigma methodology. Findings: According to the research results; it is estimated that by implementing improvements and eliminating root causes, wastes; 50% performance increase is possible in maintenance related effectiveness. Lean philosophy and six sigma methodology has high improvement potential on maintenance processes; also successful with gaining on the eliminating of defects and consequently increasing the economical outputs. Research limitations/implications: This research is limited with the experience and information from real case companies, information from relevant scientific books and theory from scientific databases. Practical implications: Lean six sigma methodology can be applied appropriately for improving the quality of the maintenance system and maintenance activities those will induce maintenance effectiveness as consequently. More effective maintenance system means decrease in the maintenance related cost, decrease in the maintenance related time due to increase in the speed and increase in the maintenance related quality. Originality/value: The originality of this research work base on implementation of advanced quality tools in DMAIC phases on maintenance subsystem and studying the quality of maintenance in multi perspective scale. © International OCSCO World Press. All rights reserved. 2015

Knowledge-based support in Non-Destructive Testing for health monitoring of aircraft structures

Maintenance manuals include general methods and procedures for industrial maintenance and they contain information about principles of maintenance methods. Particularly, Non-Destructive Testing (NDT) methods are important for the detection of aeronautical defects and they can be used for various kinds of material and in different environments. Conventional non-destructive evaluation inspections are done at periodic maintenance checks. Usually, the list of tools used in a maintenance program is simply located in the introduction of manuals, without any precision as regards to their characteristics, except for a short description of the manufacturer and tasks in which they are employed. Improving the identification concepts of the maintenance tools is needed to manage the set of equipments and establish a system of equivalence: it is necessary to have a consistent maintenance conceptualization, flexible enough to fit all current equipment, but also all those likely to be added/used in the future. Our contribution is related to the formal specification of the system of functional equivalences that can facilitate the maintenance activities with means to determine whether a tool can be substituted for another by observing their key parameters in the identified characteristics. Reasoning mechanisms of conceptual graphs constitute the baseline elements to measure the fit or unfit between an equipment model and a maintenance activity model. Graph operations are used for processing answers to a query and this graph-based approach to the search method is in-line with the logical view of information retrieval. The methodology described supports knowledge formalization and capitalization of experienced NDT practitioners. As a result, it enables the selection of a NDT technique and outlines its capabilities with acceptable alternatives

What Does it Take to Make Discovery a Success?: A Survey of Discovery Tool Adoption, Instruction, and Evaluation Among Academic Libraries

Discovery tools have been widely adopted by academic libraries, yet little information exists that connects common practices regarding discovery tool implementation, maintenance, assessment, and staffing with conventions for research and instruction. The authors surveyed heads of reference and instruction departments in research and land-grant university libraries. The survey results revealed common practices with discovery tools among academic libraries. This study also draws connections between operational, instructional, and assessment practices and perceptions that participants have of the success of their discovery tool. Participants who indicated successful implementation of their discovery tool hailed from institutions that made significant commitments to the operations, maintenance, and acceptance of their discovery tool. Participants who indicated an unsuccessful implementation, or who were unsure about the success of their implementation, did not make lasting commitments to the technical maintenance, operations, and acceptance of their discovery tool

Multidimensional screening for predicting pain problems in adults : a systematic review of screening tools and validation studies

Screening tools allowing to predict poor pain outcomes are widely used. Often these screening tools contain psychosocial risk factors. This review (1) identifies multidimensional screening tools that include psychosocial risk factors for the development or maintenance of pain, pain-related distress, and pain-related disability across pain problems in adults, (2) evaluates the quality of the validation studies using Prediction model Risk Of Bias ASsessment Tool (PROBAST), and (3) synthesizes methodological concerns. We identified 32 articles, across 42 study samples, validating 7 screening tools. All tools were developed in the context of musculoskeletal pain, most often back pain, and aimed to predict the maintenance of pain or pain-related disability, not pain-related distress. Although more recent studies design, conduct, analyze, and report according to best practices in prognosis research, risk of bias was most often moderate. Common methodological concerns were identified, related to participant selection (eg, mixed populations), predictors (eg, predictors were administered differently to predictors in the development study), outcomes (eg, overlap between predictors and outcomes), sample size and participant flow (eg, unknown or inappropriate handling of missing data), and analysis (eg, wide variety of performance measures). Recommendations for future research are provided

Study of Tools Interoperability

Interoperability of tools usually refers to a combination of methods and techniques that address the problem of making a collection of tools to work together. In this study we survey different notions that are used in this context: interoperability, interaction and integration. We point out relation between these notions, and how it maps to the interoperability problem. We narrow the problem area to the tools development in academia. Tools developed in such environment have a small basis for development, documentation and maintenance. We scrutinise some of the problems and potential solutions related with tools interoperability in such environment. Moreover, we look at two tools developed in the Formal Methods and Tools group1, and analyse the use of different integration techniques

Software maintenance in scientific and engineering environments: An introduction and guide

The purpose of software maintenance techniques is addressed. The aims of perfective, adaptive and corrective software maintenance are defined and discussed, especially in the NASA research environment. Areas requiring maintenance, and tools available for this, and suggestions for their use are made. Stress is placed on the organizational aspect of maintenance at both the individual and group level. Particular emphasis is placed on the use of various forms of documentation as the basis around which to organize. Finally, suggestions are given on how to proceed in the partial or complete absence of such documentation