Distributed Batch Runner for Automated Test Script Allocation
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Solution Overview
Problem
Current automated testing processes require human intervention to manage and supervise multiple machines, leading to idle machine time and inefficiencies in test execution and result analysis, especially when dealing with large numbers of tests.
Innovation Solution
A distributed system that automates the execution of test scripts across multiple machines, utilizing a central repository to allocate and manage test tasks, allowing machines to run tests independently and reducing human error by implementing a protocol for result parsing and machine cooperation, thereby minimizing idle time and scaling efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a human operator manually manages and supervises automated tests on multiple machines, then test execution can be controlled and results analyzed, but machine idle time increases and productivity decreases
Solution Approach 1:
The system enables machines to autonomously select and execute test scripts from a shared pool without human intervention. Each machine independently monitors the test repository, selects available tests, executes them, and reports results back to the central system, eliminating the need for operator supervision and maximizing machine utilization
Solution Approach 2:
The system implements a feedback mechanism where machines continuously report test execution status and results to a central repository, which then dynamically updates the pool of available tests. This real-time feedback loop enables automatic task reallocation and ensures optimal machine utilization without manual intervention
2Productivity
If multiple machines are allocated for testing, then test capacity increases, but coordination and supervision complexity increases
Solution Approach 1:
A central test repository acts as an intermediary between multiple machines and the test script pool. This intermediary manages test script distribution, tracks execution status, and coordinates results collection, simplifying the complexity of managing multiple machines by providing a single point of control that automatically handles all coordination tasks
Solution Approach 2:
The system segments the test execution management into independent, autonomous machine units that each operate independently according to predefined rules. Each machine self-manages its test selection and execution, reducing the need for complex centralized coordination while maintaining overall system coherence through the shared test repository
3Loss of information
If an operator manually monitors each machine for test completion, then test results can be collected and analyzed, but time is lost and operator workload increases
Solution Approach 1:
The system implements continuous automated monitoring where machines constantly report their status and test results are automatically collected and stored in the central repository without interruption. This continuous action eliminates gaps in result collection and removes the time-consuming manual monitoring process entirely
Solution Approach 2:
The manual mechanical process of operator monitoring and result collection is replaced with an automated electronic system. Machines electronically report results to the central repository, which automatically processes and stores data, eliminating the need for human operators to manually collect and analyze results
Data Source
AI summary
Method and systems for allocating test scripts across a plurality of test machines is described. A set of test scripts may be maintained where the set of test scripts includes a plurality of test scripts for allocation to a plurality of test machines. A first request for a first test script task may be received from a first test machine of a plurality of test machines. A determination may be made as to whether each test script within the set of test scripts has been allocated. If not, a first unallocated test script to allocate to the first test machine may be determined, and a first test script task may be allocated to the first test machine where the first test script task includes the first unallocated test script. The first unallocated test script then may be identified as an allocated test script in the set of test scripts.