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Assessing the Quality of Service Using Big Data Analytics: With Application to Healthcare
TLDR
In this paper, big data analytics are applied to healthcare data that is collected from multiple sources to gain quality insights and apprehend best practices of the field (using new healthcare specific big data tools). Expand
Java nano patterns: a set of reusable objects
TLDR
Nano patterns are a group of reusable methods that are frequently used in Java software development. Expand
Context-Assisted Test Cases Reduction for Cloud Validation
TLDR
We introduce a validation method called Context-Assisted Test Case Reduction CATCR for systems that are deployed on the cloud. Expand
Incremental Lifecycle Validation of Knowledge-Based Systems Through CommonKADS
TLDR
This paper introduces an incremental validation method for knowledge-based systems (KBSs) based on a lifecycle model of system development based on case testing. Expand
Predicting failures in agile software development through data analytics
TLDR
This paper introduces a method to predict software failures in the subsequent agile sprints. Expand
A Deployment Life Cycle Model for Agricultural Data Systems Using Kansei Engineering and Association Rules
TLDR
A life cycle model that uses the power of data analytics (i.e., association rules and Kansei) to guide a federal team through software testing, deployment, and user acceptance. Expand
Validation of knowledge-based systems: a reassessment of the field
TLDR
The subject of validation and verification (V&V) of knowledge-based systems (KBS) has been one of decreasing importance in the last decade. Expand
Context-Driven Testing on the Cloud
TLDR
Context-Driven Testing (CDT) is the practice of validating and verifying software systems based on their most recent status. Expand
Application of Machine Learning in Forecasting International Trade Trends
TLDR
We use machine learning to predict future trade flows in international trade settings with better accuracy than traditional models. Expand
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