The Experts below are selected from a list of 249 Experts worldwide ranked by ideXlab platform
Diane M. Strong - One of the best experts on this subject based on the ideXlab platform.
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Experience as a Moderating Variable in a Task-Technology Fit Model
2008Co-Authors: Mark T. Dishaw, Diane M. StrongAbstract:We test the addition of experience with Maintenance Tools and with the Maintenance task to our previously tested task-technology fit model for software Maintenance Tool use. Tool experience is significant as both a main and moderating effect, but task experience adds little to the explanatory power of the model.
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The Effect of Task and Tool Experience on Maintenance CASE Tool Usage
Information Resources Management Journal, 2003Co-Authors: Mark T. Dishaw, Diane M. StrongAbstract:Computer-aided software engineering CASE Tools have been advocated for improving maintainer productivity and the quality of maintained software. While there is evidence that such benefits can accrue to organizations adopting Maintenance-oriented CASE Tools, a key problem in achieving the desired benefits from CASE Tools is low usage of these Tools by programmers. The previously tested Maintenance Tool Utilization Model was a first step in investigating the factors that affect whether maintainers choose to use CASE Tools during Maintenance projects. We test the addition of experience with software Maintenance Tools and with the software Maintenance task to the Maintenance Tool Utilization Model. The role of experience is important because managers can provide training to increase experience and they can ensure that project teams have some members experienced with the Tools or with the task. Data for the test are collected from software maintainers working on their organization's normal Maintenance project backlog. Tool experience is significant as both a main and interaction effect, but task experience adds little to the explanatory power of the Maintenance Tool Utilization Model. These results support the value of improved CASE Tool training programs.
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supporting software Maintenance with software engineering Tools a computed task technology fit analysis
Journal of Systems and Software, 1998Co-Authors: Mark T. Dishaw, Diane M. StrongAbstract:Abstract Management has turned to software engineering Tools designed to support software Maintenance as a potential solution to Maintenance productivity and quality problems. Once adopted by an organisation, however, these Tools are often not used. A research model, based on a task–technology fit (TTF) model, is developed to explain the factors which lead to the use of the software Maintenance support Tools. Our model, which examines the nature of the fit between software Tool functionality and Maintenance task demands, consists of a TTF model augmented with a model of the Maintenance task and a model of software Maintenance Tool functionality. Such an augmented model is necessary for moving beyond isolated exploratory studies of Maintenance and for building on the existing research in software development and software Tool utilization. Using this model, fit between Maintenance task and technology characteristics is computed for two dimensions of fit derived from the task and technology models. Tests of hypotheses derived from the model demonstrate that task–technology fit, computed using methods for computing strategic fit, is associated with increased Tool utilization. Our findings provide direction for the development of better Maintenance support Tools. This research extends the application and usefulness of TTF models and Maintenance task and technology models so that future software Maintenance research can build on tested models.
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Assessing software Maintenance Tool utilization using task-technology fit and fitness-for-use models
1998Co-Authors: Mark T. Dishaw, Diane M. StrongAbstract:Software Tools to support programmers and maintainers have been touted as potential solutions to the software development and Maintenance crisis. Use of these Tools is predicted to increase programmer productivity while simultaneously increasing the quality of the resulting software. Unfortunately, programmer use of these Tools is lower than expected. We investigate Maintenance programmers' choices about using software Tools for their Maintenance tasks using task–technology fit and fitness-for-use models. Our results indicate that the fit between Maintenance Tool functionality and the needs of Maintenance tasks is associated with Tool use. Two related factors, however, have stronger effects. First, the results are stronger for intention to use than for actual use. Specifically, while higher fit between Tool and task is highly associated with intention to use, this intention may not lead to actual use. Second, maintainers' control over their environment affects usage. The more control Maintenance programmers have over their resources and opportunities to use Tools, the more likely they are to choose to use them. These results should concern Maintenance managers who have acquired or are acquiring Tools to increase productivity and quality, but are not realizing the benefits of their technology investments. © 1998 John Wiley & Sons, Ltd.
Veli Celik - One of the best experts on this subject based on the ideXlab platform.
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vibration monitoring for defect diagnosis of rolling element bearings as a predictive Maintenance Tool comprehensive case studies
Ndt & E International, 2006Co-Authors: Sadettin Orhan, Nizami Akturk, Veli CelikAbstract:Vibration monitoring and analysis in rotating machineries offer very important information about anamolies formed internal structure of the machinery. The information gained by vibration analysis enable to plan a Maintenance action. In this study, the vibration monitoring and analysis case studies were presented and examined in machineries that were running in real operating conditions. Failures formed on the machineries in the course of time were determined in its early stage by the spectral analysis. It was shown that the vibration analysis gets much advantage in factories as a predictive Maintenance technique.
Mark T. Dishaw - One of the best experts on this subject based on the ideXlab platform.
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Experience as a Moderating Variable in a Task-Technology Fit Model
2008Co-Authors: Mark T. Dishaw, Diane M. StrongAbstract:We test the addition of experience with Maintenance Tools and with the Maintenance task to our previously tested task-technology fit model for software Maintenance Tool use. Tool experience is significant as both a main and moderating effect, but task experience adds little to the explanatory power of the model.
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The Effect of Task and Tool Experience on Maintenance CASE Tool Usage
Information Resources Management Journal, 2003Co-Authors: Mark T. Dishaw, Diane M. StrongAbstract:Computer-aided software engineering CASE Tools have been advocated for improving maintainer productivity and the quality of maintained software. While there is evidence that such benefits can accrue to organizations adopting Maintenance-oriented CASE Tools, a key problem in achieving the desired benefits from CASE Tools is low usage of these Tools by programmers. The previously tested Maintenance Tool Utilization Model was a first step in investigating the factors that affect whether maintainers choose to use CASE Tools during Maintenance projects. We test the addition of experience with software Maintenance Tools and with the software Maintenance task to the Maintenance Tool Utilization Model. The role of experience is important because managers can provide training to increase experience and they can ensure that project teams have some members experienced with the Tools or with the task. Data for the test are collected from software maintainers working on their organization's normal Maintenance project backlog. Tool experience is significant as both a main and interaction effect, but task experience adds little to the explanatory power of the Maintenance Tool Utilization Model. These results support the value of improved CASE Tool training programs.
-
supporting software Maintenance with software engineering Tools a computed task technology fit analysis
Journal of Systems and Software, 1998Co-Authors: Mark T. Dishaw, Diane M. StrongAbstract:Abstract Management has turned to software engineering Tools designed to support software Maintenance as a potential solution to Maintenance productivity and quality problems. Once adopted by an organisation, however, these Tools are often not used. A research model, based on a task–technology fit (TTF) model, is developed to explain the factors which lead to the use of the software Maintenance support Tools. Our model, which examines the nature of the fit between software Tool functionality and Maintenance task demands, consists of a TTF model augmented with a model of the Maintenance task and a model of software Maintenance Tool functionality. Such an augmented model is necessary for moving beyond isolated exploratory studies of Maintenance and for building on the existing research in software development and software Tool utilization. Using this model, fit between Maintenance task and technology characteristics is computed for two dimensions of fit derived from the task and technology models. Tests of hypotheses derived from the model demonstrate that task–technology fit, computed using methods for computing strategic fit, is associated with increased Tool utilization. Our findings provide direction for the development of better Maintenance support Tools. This research extends the application and usefulness of TTF models and Maintenance task and technology models so that future software Maintenance research can build on tested models.
-
Assessing software Maintenance Tool utilization using task-technology fit and fitness-for-use models
1998Co-Authors: Mark T. Dishaw, Diane M. StrongAbstract:Software Tools to support programmers and maintainers have been touted as potential solutions to the software development and Maintenance crisis. Use of these Tools is predicted to increase programmer productivity while simultaneously increasing the quality of the resulting software. Unfortunately, programmer use of these Tools is lower than expected. We investigate Maintenance programmers' choices about using software Tools for their Maintenance tasks using task–technology fit and fitness-for-use models. Our results indicate that the fit between Maintenance Tool functionality and the needs of Maintenance tasks is associated with Tool use. Two related factors, however, have stronger effects. First, the results are stronger for intention to use than for actual use. Specifically, while higher fit between Tool and task is highly associated with intention to use, this intention may not lead to actual use. Second, maintainers' control over their environment affects usage. The more control Maintenance programmers have over their resources and opportunities to use Tools, the more likely they are to choose to use them. These results should concern Maintenance managers who have acquired or are acquiring Tools to increase productivity and quality, but are not realizing the benefits of their technology investments. © 1998 John Wiley & Sons, Ltd.
Sadettin Orhan - One of the best experts on this subject based on the ideXlab platform.
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vibration monitoring for defect diagnosis of rolling element bearings as a predictive Maintenance Tool comprehensive case studies
Ndt & E International, 2006Co-Authors: Sadettin Orhan, Nizami Akturk, Veli CelikAbstract:Vibration monitoring and analysis in rotating machineries offer very important information about anamolies formed internal structure of the machinery. The information gained by vibration analysis enable to plan a Maintenance action. In this study, the vibration monitoring and analysis case studies were presented and examined in machineries that were running in real operating conditions. Failures formed on the machineries in the course of time were determined in its early stage by the spectral analysis. It was shown that the vibration analysis gets much advantage in factories as a predictive Maintenance technique.
Nizami Akturk - One of the best experts on this subject based on the ideXlab platform.
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vibration monitoring for defect diagnosis of rolling element bearings as a predictive Maintenance Tool comprehensive case studies
Ndt & E International, 2006Co-Authors: Sadettin Orhan, Nizami Akturk, Veli CelikAbstract:Vibration monitoring and analysis in rotating machineries offer very important information about anamolies formed internal structure of the machinery. The information gained by vibration analysis enable to plan a Maintenance action. In this study, the vibration monitoring and analysis case studies were presented and examined in machineries that were running in real operating conditions. Failures formed on the machineries in the course of time were determined in its early stage by the spectral analysis. It was shown that the vibration analysis gets much advantage in factories as a predictive Maintenance technique.
