Current Search:   Mulcahy, James J. (x)

View All Items

  • CSV Spreadsheet
(1 - 4 of 4)
Analyzing software repository data to synthesize and visualize relationships between development artifacts
Title
Analyzing software repository data to synthesize and visualize relationships between development artifacts.
Creator
Mulcahy, James J., Huang, Shihong, Graduate College
Abstract/Description
As computing technology continues to advance, it has become increasingly difficult to find businesses that do not rely, at least in part, upon the collection and analysis of data for project management and process improvement. The cost of software, for example, tends to increase over time due to its complexity and the expense of employing humans to develop, maintain, and evolve it. To help control costs, organizations often seek to improve the process by which software systems are developed...
Show moreAs computing technology continues to advance, it has become increasingly difficult to find businesses that do not rely, at least in part, upon the collection and analysis of data for project management and process improvement. The cost of software, for example, tends to increase over time due to its complexity and the expense of employing humans to develop, maintain, and evolve it. To help control costs, organizations often seek to improve the process by which software systems are developed and evolved. Improvements can be realized by discovering previously unknown or hidden relationships between the artifacts generated as a result of developing a complex software system. The objective of this the work was to engineer a visualization software tool that helps managers and engineers better plan for future projects by helping them discover new knowledge gained by synthesizing and visualizing data mined from software repository records from their own previous projects.
Show less
Date Issued
2014
PURL
http://purl.flvc.org/fau/fd/FA00005841
Format
Document (PDF)
Autonomic Computing
Title
Autonomic Computing.
Creator
Mulcahy, James J., Huang, Shihong, Graduate College
Abstract/Description
Modern software systems have grown in complexity and expense, even while costs for the supporting hardware have decreased. Humans still comprise a significant cost from the development to operation and evolution of software, and must be increasingly more skilled as systems grow more complex. Further, legacy software has become more prevalent, as sophisticated enterprise systems developed over many years approach complexity that is too expensive to replace or re-engineer. One of the major...
Show moreModern software systems have grown in complexity and expense, even while costs for the supporting hardware have decreased. Humans still comprise a significant cost from the development to operation and evolution of software, and must be increasingly more skilled as systems grow more complex. Further, legacy software has become more prevalent, as sophisticated enterprise systems developed over many years approach complexity that is too expensive to replace or re-engineer. One of the major software engineering challenges today is the maintenance and evolution of these existing legacy systems to extend the business value of the software, while mitigating the costs and increased complexity. Approaches practiced by researchers and engineers include software reuse, serviceoriented architecture, and autonomic computing principles to improve the reliability of systems, while removing the need for human monitoring and intervention where possible. In this paper, we describe a real-world project in which a multi-channel vendor of musical equipment sought to extend their legacy enterprise system to automatically process customer orders originating from a third party retailer specializing in ecommerce. To realize the solution, an addition to the existing enterprise system was developed using autonomic computing, software reuse, and service-oriented architectural approaches, producing a highly automated order processing stream that was self-monitoring, self-adaptive, and fault-tolerant, while minimizing the need for additional human resources to monitor the system and process the data.
Show less
Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00005902
Format
Document (PDF)
Analyzing software repository data to synthesize and visualize relationships between development artifacts
Title
Analyzing software repository data to synthesize and visualize relationships between development artifacts.
Creator
Mulcahy, James J., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
As computing technology continues to advance, it has become increasingly difficult to find businesses that do not rely, at least in part, upon the collection and analysis of data for the purpose of project management and process improvement. The cost of software tends to increase over time due to its complexity and the cost of employing humans to develop, maintain, and evolve it. To help control the costs, organizations often seek to improve the process by which software systems are developed...
Show moreAs computing technology continues to advance, it has become increasingly difficult to find businesses that do not rely, at least in part, upon the collection and analysis of data for the purpose of project management and process improvement. The cost of software tends to increase over time due to its complexity and the cost of employing humans to develop, maintain, and evolve it. To help control the costs, organizations often seek to improve the process by which software systems are developed and evolved. Improvements can be realized by discovering previously unknown or hidden relationships between the artifacts generated as a result of developing a software system. The objective of the work described in this thesis is to provide a visualization tool that helps managers and engineers better plan for future projects by discovering new knowledge gained by synthesizing and visualizing data mined from software repository records from previous projects.
Show less
Date Issued
2011
PURL
http://purl.flvc.org/FAU/3333053
Subject Headings
Data mining, Mathematical models, Software engineering, Inofrmation visualization, Data processing, Application software, Development, Object-oriented programming (Computer science)
Format
Document (PDF)
Evolving Legacy Software Systems with a Resource and Performance-Sensitive Autonomic Interaction Manager
Title
Evolving Legacy Software Systems with a Resource and Performance-Sensitive Autonomic Interaction Manager.
Creator
Mulcahy, James J., Huang, Shihong, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Retaining business value in a legacy commercial enterprise resource planning system today often entails more than just maintaining the software to preserve existing functionality. This type of system tends to represent a significant capital investment that may not be easily scrapped, replaced, or re-engineered without considerable expense. A legacy system may need to be frequently extended to impart new behavior as stakeholder business goals and technical requirements evolve. Legacy ERP...
Show moreRetaining business value in a legacy commercial enterprise resource planning system today often entails more than just maintaining the software to preserve existing functionality. This type of system tends to represent a significant capital investment that may not be easily scrapped, replaced, or re-engineered without considerable expense. A legacy system may need to be frequently extended to impart new behavior as stakeholder business goals and technical requirements evolve. Legacy ERP systems are growing in prevalence and are both expensive to maintain and risky to evolve. Humans are the driving factor behind the expense, from the engineering costs associated with evolving these types of systems to the labor costs required to operate the result. Autonomic computing is one approach that addresses these challenges by imparting self-adaptive behavior into the evolved system. The contribution of this dissertation aims to add to the body of knowledge in software engineering some insight and best practices for development approaches that are normally hidden from academia by the competitive nature of the retail industry. We present a formal architectural pattern that describes an asynchronous, low-complexity, and autonomic approach. We validate the pattern with two real-world commercial case studies and a reengineering simulation to demonstrate that the pattern is repeatable and agnostic with respect to the operating system, programming language, and communication protocols.
Show less
Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00004527, http://purl.flvc.org/fau/fd/FA00004527
Subject Headings
Business logistics -- Automation, Electronic commerce -- Management, Enterprise application integration (Computer systems), Information resources management, Management information systems, Software reengineering
Format
Document (PDF)