Sentence examples for historical software from inspiring English sources
Historical software project datasets are often being utilized together with various machine learning algorithms for fault-proneness classification.
In this paper, we propose a software process model recommendation method, to help project managers choose the most appropriate software process model for a new project at an early stage of development process according to historical software engineering data.
It first evaluates the different combinations of the alternative classification and attribute selection algorithms, and the best one is used to build the recommendation model with historical software engineering data; then, the constructed recommendation model is used to predict process models for a new software project with only a few data.
The measure needs historical data of software patches, and therefore only works on well-supported software.
Based on the incoming data and historical patterns, the software forecasts of how traffic will react on various roads under differing conditions.
The historical answers of software engineering to the issue of strategic alignment between business, organization, information system and architecture are not sufficient to support an ERP project.
Historical project data, including software faults and a robust software fault prediction tool, can enable quality managers to focus on fault-prone modules.
The paper begins with some historical observations about the software development field.
Figure 2 shows a part of the catalog generated from historical data of the software Health Watcher [30 32].
The state-of-the-art QA resource allocation approaches predict the defect-proneness of an artifact using the historical data of different software metrics, e.g., the number of previous defects and the changes in the artifact.
As Ben Edwards, the VP Digital Strategy and Development for IBM, explains it: "We're 470,000 people, we made this historical shift from hardware and software to hardware software and services.
