Cassantec is an industry-leading provider of a SaaS-solution that uses unique mathematical algorithms to forecast equipment malfunctions. This allows businesses (nuclear power, fossil power, railways, etc.) to make timely decisions to repair or replace equipment depending on forecast results and save millions of dollars.
The prognostic solution is the only solution which provides reasonably accurate forecasts for 3 years ahead. It defines the level of malfunctions: standard, high, critical. The forecasts are based on data analysis of a great number of sensor controllers not on the analysis of past malfunctions that other systems make.
Development challenges:
QA challenges:
This is a big data application. It processes a huge amount of data related to the forecast of possible equipment malfunction. The equipment for which the forecast is calculated may include a number of units, components. Each of them may have a number of parameters, monitored and sampled over the time, on which the prognosis is calculated. The primary challenge for QA team was to understand the business domain and understand how the configuration of the monitored equipment is described. Then to create test equipment models with sets of units and components and to craft the test parameter datasets.
QA activities:
Functional testing, API testing, performance testing, configurational testing, web Automation, QA process establishment and management.
ISS Art continues to assist in optimizing the work on the project as it is a long-term project.
We started working with ISS Art 5 years ago. We have an ongoing relationship. Numerous milestones have been reached, but ISS Art has enough work for the next year. There are several full-time resources from ISS Art’s side which have become a part of our development team.
Our work is math-heavy, very quantitative, and I’ve been satisfied with ISS Art’s ability to embrace our technology. They’re strong on the mathematical side, and take pride in handling all algorithmic and numerical elements behind the software. This has made the change and feature specifications much easier. I can make top-level requests of what I want to be done, and ISS Art only checks back on the issues which I want to discuss, instead of asking routine questions. It’s a very resource-saving communication.
