Test analytics and visualization system

The test analytics and visualization system addresses inefficiencies in software testing by integrating data collection, automated error detection, and AI analytics to enhance data management and error detection, improving software quality and efficiency.

WO2026072023A1PCT designated stage Publication Date: 2026-04-02TESTİNİUM TEKNOLOJİ YAZILIM ANONİM ŞİRKETİ
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-10-09
Publication Date
2026-04-02

AI Technical Summary

Technical Problem

Existing software testing tools are inadequate for analyzing complex and large data sets, leading to inefficient manual analysis, delayed error detection, and reduced software quality, with a need for automated, real-time data analysis and visualization.

Method used

A test analytics and visualization system that integrates data collection, automated error detection, AI-powered analytics, and graphical feedback to enable real-time, efficient management of software testing processes, detecting errors quickly and improving software quality.

Benefits of technology

Facilitates fast, reliable, and detailed analysis of test data, reducing manual workload, enhancing error detection, and optimizing software testing processes for faster project completion and improved quality.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to a test analytics and visualization system (A) developed for analytical examination, visualization and management of test processes and software test data of software companies, test engineers and test teams.
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Description

[0001] TEST ANALYTICS AND VISUALIZATION SYSTEM

[0002] FIELD OF THE INVENTION

[0003] The present invention relates to a test analytics and visualization system developed for analytical examination, visualization and management of test processes and software test data of software companies, test engineers and test teams.

[0004] PRIOR ART

[0005] Existing software testing tools are inadequate to analyze the complex and large data sets that arise in large-scale software projects. This inadequacy causes data analysis to be performed manually in software testing processes and the analyses to be carried out inefficiently. This slows down the testing processes of software projects and causes serious problems such as late detection of emerging errors. Especially in projects working with large data sets, the failure to quickly and effectively analyze test data reduces the overall quality of the software and causes negative consequences in the software development process.

[0006] The limited analysis and reporting capabilities of traditional software testing tools are inadequate in the face of the complexity of software testing processes. The test tools used in current techniques are insufficient in providing detailed and real-time data such as test success rate, test coverage rate, error analysis, error density, and test results. This deficiency becomes more apparent as software projects increase in size and complexity. The need for manual test data analysis increases the workload on test engineers, causes time loss, and reduces the overall efficiency of test processes.

[0007] The current analysis and visualization tools used in testing processes only provide superficial data and do not allow for a more detailed analytical examination of testing processes. This inadequacy prevents test data from being analyzed in a way that yields meaningful results and causes significant delays in software development processes. Additionally, problems such as time loss in manual analysis processes of test data, accumulation of large data piles, and failure to correctly identify error patterns arise. This can also lead to a decline in software quality and the delivery of faulty products to end users.

[0008] As a result, the inadequacies in real-time analysis and visualization of test data in current systems and techniques pose a significant problem in software development processes. There is a need for a system that will offer more advanced, Al-powered automated and integrated solutions to reduce the workload of test engineers and ensure faster and more efficient management of testing processes. In this field, it is necessary to develop an innovative system that enables the real-time analytical examination and visualization of test data, the rapid detection of errors, and the provision of continuous feedback to test engineers and managers.

[0009] OBJECT OF THE INVENTION

[0010] The present invention aims to eliminate the abovementioned problems and to make a development in the relevant technical field.

[0011] The present invention aims to provide an innovative test analytics and visualization system that enables the real-time analytical examination and visualization of data obtained from large-scale projects in software testing processes, and the management of data on a central platform. This system will enable test engineers to perform fast, reliable and detailed analytical examinations during testing processes, enabling errors to be detected more quickly. The main object of the present invention is to automatically analyze the test data, to examine the data obtained from the test processes in depth and to detail these data visually.

[0012] The application enables the collection of critical metrics such as test success rate, test coverage rate, old and new defects, defect densities, slow tests and unstable tests on a central platform, allowing systematic analytical reviews to be performed on this data. In this way, test engineers can monitor the performance and errors of the software in real time and quickly take the necessary steps to fix the errors. While aiming to manage and improve testing processes more efficiently in software projects, artificial intelligence analytics modules also enable the optimization of testing processes. Artificial intelligence will help detect patterns and anomalies in test data, enabling early detection of errors and improving software quality. Another object of the present invention is to enable test engineers to make more effective decisions by thoroughly analyzing the data obtained from the test processes. Presenting data graphically will help test engineers understand complex data sets more easily and enable test processes to be managed more effectively. This system will support the continuous improvement of testing processes by providing feedback to test engineers, thereby enhancing the overall quality of software projects. Test engineers can identify errors in the testing process more quickly, optimize software performance, and complete projects faster with the detailed feedback provided by the system.

[0013] The present invention also aims to eliminate time loss, error density, and the inadequacies of manual analysis processes encountered in testing processes in large projects. By providing automated data analytics, the manual analysis burden on test engineers will be reduced and software development processes will become more efficient. Thus, errors will be detected and corrected immediately during software testing processes, enabling the software to be brought to market faster.

[0014] BRIEF DESCRIPTION OF THE INVENTION

[0015] The present invention is an innovative test analytics and visualization system that enables the analytical examination and visualization of data generated during software testing processes, with the aim of achieving all the objectives outlined above and those that will emerge from the detailed description below. This system helps test engineers manage their test processes more effectively by collecting data generated during test processes, analyzing, and presenting the same graphically. Software testing processes often involve complex operations requiring analytical review of large data sets, and managing this data correctly has a direct impact on the quality of the software. The present invention is an integrated system designed to manage software testing processes more efficiently, detect errors quickly and present the results in an understandable format. This system provides test engineers with instant analytical reviews, saving time in testing processes and improving the overall quality of software projects.

[0016] A preferred embodiment of the invention comprises data collection module that enables the collection of data obtained from the test processes. The data collection module collects test data from different platforms and devices in a central database and transmits this data to other modules of the application for analytical review. Data collected during testing processes provides critical information about the performance and quality of the software, and collecting this information accurately ensures the efficiency of the analytical review process. The data collection module enables automatic collection of test data, eliminating the need for test engineers to manually manage testing processes and improving the overall performance of the system. This module also ensures data security and accuracy by collecting data in a central structure.

[0017] Another preferred embodiment of the invention is a visualization module that enables the analyzed test data to be presented graphically. The visualization module provides test engineers with test results in an understandable format, allowing for better analytical review of test processes. Visualizing test results gives test engineers a significant advantage when working with large data sets, as presenting data graphically helps detect errors and performance issues more quickly. The visualization module allows identifying difficulties encountered in testing processes and clarifying the actions to be taken to overcome these difficulties. Additionally, through visual data, test engineers can easily monitor metrics such as test success rate, test coverage rate, old and new defects.

[0018] Another preferred embodiment of the invention is a test error detection module that enables the detection of test errors. This module automatically detects errors that occur during testing processes and determines at which stages of the testing processes these errors occur. Defect detection plays a critical role in software testing processes because quickly identifying and resolving defects improves the overall quality of the software. The test error detection module enables the application to automatically detect and report errors without requiring test engineers to manually search for errors encountered in the software. This module helps to resolve problems encountered during testing processes more quickly and shortens the delivery time of software projects.

[0019] Another preferred embodiment of the invention comprises a feedback mechanism that enables the analyzed test data to be presented to the users. The feedback module provides test engineers with continuous information about the status of their testing processes and allows them to improve their testing processes based on this information. The feedback mechanism informs test engineers about errors and performance issues detected during testing processes and suggests improvements that need to be made to increase the quality of the software. This feedback accelerates test engineers' decisionmaking processes and ensures that software projects are completed more efficiently. The system analyzes any issues encountered during testing processes and provides users with detailed feedback, enabling continuous improvement of software processes through this feedback.

[0020] The invention provides an integrated structure that enables the analytical examination and visualization of software testing processes, allowing software engineers to manage test data more effectively and perform analytical reviews. Analytically examining data collected during testing processes on a central platform, presenting the same graphically, and supporting the same with a feedback mechanism enables more reliable and faster results by improving the overall quality of software projects. The invention reduces the workload of test engineers and increases the efficiency of software testing processes.

[0021] BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 shows the general appearance of the test analytics and visualization system.

[0023] DESCRIPTION OF THE REFERENCE NUMBERS IN FIGURES

[0024] A: Test analytics and visualization system

[0025] 1 : Interface

[0026] 2: Data collection module

[0027] 21 : Products

[0028] 3: Application

[0029] 31 : Errors

[0030] 32: Application interface

[0031] 321 : Test success rate

[0032] 322: Test coverage ratio

[0033] 323: Old and new errors

[0034] 324: Error analysis and densities

[0035] 325: Error patterns

[0036] 326: Slow tests 327: Unstable tests

[0037] 328: Scented tests

[0038] 329: Results

[0039] 4: Artificial intelligence analytics module

[0040] 5: Feedback module

[0041] 6: Detection module

[0042] E: Electronic device

[0043] DETAILED DESCRIPTION OF THE INVENTION

[0044] In this detailed description, the present invention is a test analytics and visualization system (A), and as seen in Figure 1 , the invention is a feedback module (5) that enables the analytical examination of data arising from software testing processes in a central application (3) and the visual presentation of this data, comprises an interface (1 ) that allows test engineers to manage and analyze testing processes more efficiently.

[0045] The invention is a test analytics and visualization system (A), and as seen in Figure 1 , the test analytics and visualization system (A) comprises a structure that enables analytical examination, visualization and management of test processes, as seen in Figure 1 . The system allows users to access test data by logging in via the interface (1 ) and to analyze these data instantly. The interface is designed in an easy-to-use, data visualization-oriented structure that allows test engineers to easily review data. In this way, test engineers can effectively manage data during the testing process and accelerate analytical review processes.

[0046] The invention is a test analytics and visualization system (A), and as seen in Figure 1 , the system also comprises an application (3) that analytically examines the test data collected with the data collection module (2). The data collection module (2) enables test engineers to collect data from various sources and products (21 ), paving the way for a holistic analytical examination of test data. This data collected during the testing processes is stored in a central database by the system and transferred to analytical review processes. These data collected by the data collection module (2) are then processed by the application (3) and the error module (31 ), which is used to detect errors in this process, comes into play.

[0047] The present invention is a test analytics and visualization system (A), and as seen in Figure 1 , the error module (31 ) automatically detects the problems encountered in software testing processes and reports to the user in detail at what stage and in what way these errors occur. Through these reports, test engineers can find out where the errors originate and make the necessary corrections. The application interface (32), with which the error module (31 ) is integrated, visually presents the data of the test processes to the user. This visual representation includes various metrics such as test success rate

[0048] (321 ), test coverage rate (322), old and new errors (323), error analyses and densities (324), error patterns (325), slow tests (326), unstable tests (327), scented tests (328), and results (329).

[0049] The present invention is a test analytics and visualization system (A), and as seen in Figure 1 , the system is equipped with an artificial intelligence analytics module (4) to enable test engineers to conduct in-depth analytical examinations on the obtained data. The artificial intelligence analytics module (4) processes large data sets and analytically examines error patterns (325) that occur in testing processes, detecting slow tests (326) and unstable tests (327). In this way, problems that may occur during software testing processes can be predicted and necessary improvement steps can be taken. The Al analytics module (4) provides test engineers with suggestions to increase efficiency and quickly resolve sources of errors.

[0050] The present invention is a test analytics and visualization system (A), and as seen in Figure 1 , the application interface (32) that provides the visual dimension of the system presents the test results to test engineers in an understandable and graphical format. Error analyses and their densities (324) are detailed through graphs, enabling an effective understanding of the test results. The visualization module (32) not only informs the user about the status of the testing processes, but also provides detailed information about critical metrics such as the test success rate (321 ) and the test coverage rate

[0051] (322).

[0052] The present invention is a test analytics and visualization system (A), and as seen in Figure 1 , the feedback module (5) helps test engineers manage test processes more effectively by providing continuous feedback. This module presents analytically examined data to the user and makes suggestions for improving testing processes. The module provides instant feedback on errors encountered during testing processes and contributes significantly to improving software quality.

[0053] The present invention is a test analytics and visualization system (A), and as seen in Figure 1 , the test error detection module (6) is another important component in the system and allows the detection of errors that occur during the testing processes. This module helps test engineers identify the stages where errors occur and analytically examine the causes of these errors. With the help of the test error detection module (6), errors occurring during the testing processes are quickly detected and corrected, thus increasing the overall performance of the software.

[0054] The present invention is a test analytics and visualization system (A), and as seen in Figure 1 , the test analytics and visualization system (A) works in integration with the electronic device (E) on which it operates. The electronic device (E) is optimized to ensure the performance and stability of all modules of the system. This device provides the necessary hardware support for rapid processing and analytical analysis of data collected during test processes. The system runs on this electronic device (E) to ensure that software testing processes run smoothly.

[0055] The present invention is a test analytics and visualization system (A), and as seen in Figure 1 , as a result, the present invention is an integrated system that allows test engineers to manage and analyze software testing processes more efficiently. Processes such as collecting test data, analytically examining, visualizing the same and detecting errors are carried out quickly and effectively through the modules of the system. This structure provided by the invention eliminates the difficulties encountered in software testing processes and provides fast and reliable solutions to test engineers.

[0056] The present invention is a test analytics and visualization system (A), and as seen in Figure 1 , the scope of protection of the invention is stated in the claims and cannot be limited to what is explained for example purposes in this short and detailed description. It is clear that a person skilled in the art can present similar embodiments without departing from the main theme of the invention.

Claims

CLAIMS1. Test analytics and visualization system (A) developed for analytical examination, visualization and management of test processes and software test data, characterized by comprising;• Interface that allows users to log in to the system, to analyze test data analytically during software testing processes, and to visualize these data, and to display analytical reviews after users log in to the system (1 ),• Data collection module (2), which collects test data and enables the data from various sources to be collected at a single point, enabling comprehensive analytical analysis of the tests,• Analysis module (4), which allows in-depth analysis of collected data using a deep learning algorithm from artificial intelligence techniques,• An application (3), which collects data from sources, ensures the continuous collection of necessary data by connecting with the software or processes being tested, and accelerates the testing processes by facilitating the exchange of data between different systems,• Error module (31 ), which is used to detect errors and problems that occur in the test results and enables improvements to be made to increase the success rate of the tests by detecting errors, performance deficiencies or other problems that occur during the test process,• Application interface (32), which allows the visual presentation of analytically examined data, making the evaluation of test results and data and the examination of analytical examination results more practical.• Test success rate (321 ) showing the success rates of the tests,• Test coverage ratio (322), which determines the progress of the software or system under test and which parts of the software these tests cover.• Old and new errors (323), including analytical review of errors revealed by new tests compared to errors,• Error analyses and densities (324), which analyze whether errors have a certain pattern and repeat problems,• Error patterns (325), which analyzes whether errors occur in a certain pattern and whether there are repeating problems.• Slow tests (326), which detects which tests are progressing slower than expected during the test completion time and suggests solutions for this,• Unstable tests (327), which examine the instability of tests and the instability that results in different results when repeated,• Scented tests (328), which perform analytical examination of issues that may cause errors or reduce software quality during software testing.• Results (329), which summarizes the overall results of all tests, the rates of passing and failing tests, error analyses, and test performance,• Artificial intelligence analytics module (4), which can analyze test results more deeply and identify possible areas for improvement, with artificial intelligence algorithms used in analytical analysis of data and testing processes,• Feedback module (5), which supports the improvement of testing processes, enables the collection and analytical analysis of feedback on test results, and evaluates user feedback to make testing processes more effective and efficient,• Test error detection module (6), which helps detect test errors early and improve performance in processes by automatically detecting and reporting errors that occur in test processes,• Electronic device (E), which ensures the safe and trouble-free operation of this device throughout the testing process as the test analytics and visualization system (A) operates on a specific electronic device.

2. Test analytics and visualization system (A) according to claim 1 , characterized in that; it analyses software quality processes in a data-based and systematic way, ensures that testing processes are carried out with maximum efficiency, collects test data from different data sources, analyses this data with analytical methods and presents the results to test experts.

3. Test analytics and visualization system (A) according to claim 1 , characterized by comprising a feedback module (5) that provides quality guidance by extracting meanings for improvements of the data produced in the test subprocesses.

4. Test analytics and visualization system (A) according to claim 1 , characterized in that; the system comprises an artificial intelligence analytics module (4) that enables the detection of patterns and reporting of test success rate (321 ) and test coverage rate (322) metrics.

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