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Empowering Sustenance Engineering with Data-analytics
As the product lifecycle management (PLM) landscape grows in terms of complexity, enterprises must devote additional time and capital to sustenance engineering services. This leads to rise in development, testing as well as escalation management costs. Organizations should move away from a siloed approach and should leverage technologies such as Big Data Analytics and Machine learning to reduce time to market. That’s where iSE - Intelligent Sustenance Engineering comes in, an analytics based approach to engineering. iSE has capabilities such as Defect and Code Analysis, Test Plan Recommendation, and identifying undetected defects in test plan and custom visualisations.
Our approach is centred around understanding product sustenance data from existing toolsets, people, process and knowledge pieces, and create actionable insights on the same.
Understand Product Sustenance Data >>>Establish Relationships and standardize these data pieces>> Suggest & Implement models based on Insights needed>> Ensure fundamental shifts in “Processes” & People practices
Companies must dispense with a siloed approach to product management and aspire for an integrated support system to address the above challenges. A cost-effective, efficient and responsive product sustenance engineering practice must leverage technologies such as product intelligence, Big Data, and analytics to reduce time to market. From independent software vendors and telecom leaders to aerospace and medical OEMs, optimized product sustenance engineering system finds strategic application across several industries.
We use cutting edge tools to streamline the ISE solution process. Empowered by proven analytics-driven algorithms, our approach couples data extraction/mining with software engineering best practices.
Harness complex machine-learning algorithms with our Intelligent Sustenance Engineering (ISE) solution to gain predictive insights for engineering activities. ISE is the software engineering domain’s first analytics-based offering. A leading telecom provider achieved 23% reduction in defect occurrence utilizing Intelligent Sustenance Engineering for code analysis, defect pattern identification, and discovery efficiency mapping.
Organizations can leverage our sustenance solutions and action the following benefits:
- 8-10% increase in productivity
- 50% reduction in bug resolution timelines
- 10% less time for test planning
- 15% decline in regression testing time
- 50% decrease in time for transition
Let your engineers know where to start your investigation with, while solving issues or defects.
Categorize defects based on the products features that are impacted
Identify similar/duplicate defects quickly and recommend the best ways to solve them
Test Case Recommendation
The tool understands your release & defect history, and suggests optimized test plan
Test Step Optimization
Identify redundant test steps across your test case suites, and eliminate them
Identify defects which do not have test scenarios mapped to them
Insights & News
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Engineering and R&D Services