This document proposes methods to help computer vision-based automation tools more easily detect and interact with hidden objects in graphical user interfaces (GUIs) during software testing. Current vision-based automation systems rely only on image recognition and mouse events, which makes it difficult to find and access hidden GUI elements like dropdown lists or slider positions. The proposed methods add the use of keyboard shortcuts along with image clicks to interact with visible objects and reveal hidden objects, allowing automation tools to more quickly and accurately access hidden objects as part of testing test cases. This should enhance the capabilities of vision-based automation systems.
- Android is an open source mobile operating system based on the Linux kernel. It includes an open source application framework and custom applications can be built using Java and XML.
- Key Android development tools include ADB, the emulator, SDK, and NDK. The emulator allows testing apps on different device configurations. The SDK supports Java development and the NDK supports native code.
- Key Android app components include Activities for screens, Services for background tasks, BroadcastReceivers for responding to system events, and ContentProviders for sharing data. The manifest defines the app components and permissions.
This document discusses how to create cross-browser test automation using Coded UI Testing. It covers setting up Coded UI tests in Visual Studio 2012 to support multiple browsers, maintaining test code using the page object pattern and behavior-driven development style, and running automated tests from Microsoft Test Manager and as part of the build process.
http://www.wellsource.com/home.html | By actively providing wellness activities and developing a culture of health at your organization, you are investing in the greatest asset in your company – the health and well-being of your staff. It will pay rich dividends in goodwill, increased productivity, and ultimately lower healthcare costs.
Seville has a long history dating back 3000 years and was called Hispalis when it was part of the Roman Empire. Some of Seville's notable landmarks include the Real Alcazar, Spain square, Giralda tower, and Tower of Gold. The city is also home to a football team that won the Europa League this year and is known for its beautiful hymn, as well as religious Easter processions and an April fair where traditional clothes are worn.
A Life Remembered: John "Trapper" ElliottKyla Brown
John "Trapper" Elliott was born on January 7th, 1943 in Meridian, Mississippi and passed away on January 5th, 2014. He was an only child who will be remembered by his five children - daughters Karen and Diane, and sons John Jr., Keith, and Michelle. The document includes memories and tributes from his family and friends, describing him as a loving father, skilled pool player, sports fan, and great friend and coworker who will be deeply missed.
El documento proporciona información sobre 5 empleados incluyendo sus nombres, apellidos, especialidad, sueldo básico, horas extras trabajadas, número de hijos, bonos recibidos y estados de pago del IESS y bonos. También incluye las fórmulas para calcular las horas extras, los bonos y las deducciones de IESS.
Marjorie thompson emerging technologies power point presentationunicorn-rose
Anais writes a letter to Ramone describing how she suddenly found herself transported to a mysterious island without explanation. She shares that only time will tell if she is pleased or annoyed by her new surroundings. Anais includes pictures of the island, its science center where she sits with an ashen complexion, a large conference room, an abstract dean's office, and an unpolluted coastline, hoping Ramone will understand once they are reunited, though she warns that her appearance may change at any time.
Weaving is one of the oldest methods of fabric production and was an important part of life in Slovakian villages, where people would weave mainly in the winter months when not working in the fields. Weaving remains one of the most common crafts in Slovakia, with certain regions like Spiš, Saris, Orava, Gemer and Liptov having the highest concentrations of weavers and their own distinctive weaving motifs. The mechanical weaving loom was invented in 1785 based on the hand loom technique that has been used for over 4,000 years, automating the weaving process.
- Android is an open source mobile operating system based on the Linux kernel. It includes an open source application framework and custom applications can be built using Java and XML.
- Key Android development tools include ADB, the emulator, SDK, and NDK. The emulator allows testing apps on different device configurations. The SDK supports Java development and the NDK supports native code.
- Key Android app components include Activities for screens, Services for background tasks, BroadcastReceivers for responding to system events, and ContentProviders for sharing data. The manifest defines the app components and permissions.
This document discusses how to create cross-browser test automation using Coded UI Testing. It covers setting up Coded UI tests in Visual Studio 2012 to support multiple browsers, maintaining test code using the page object pattern and behavior-driven development style, and running automated tests from Microsoft Test Manager and as part of the build process.
http://www.wellsource.com/home.html | By actively providing wellness activities and developing a culture of health at your organization, you are investing in the greatest asset in your company – the health and well-being of your staff. It will pay rich dividends in goodwill, increased productivity, and ultimately lower healthcare costs.
Seville has a long history dating back 3000 years and was called Hispalis when it was part of the Roman Empire. Some of Seville's notable landmarks include the Real Alcazar, Spain square, Giralda tower, and Tower of Gold. The city is also home to a football team that won the Europa League this year and is known for its beautiful hymn, as well as religious Easter processions and an April fair where traditional clothes are worn.
A Life Remembered: John "Trapper" ElliottKyla Brown
John "Trapper" Elliott was born on January 7th, 1943 in Meridian, Mississippi and passed away on January 5th, 2014. He was an only child who will be remembered by his five children - daughters Karen and Diane, and sons John Jr., Keith, and Michelle. The document includes memories and tributes from his family and friends, describing him as a loving father, skilled pool player, sports fan, and great friend and coworker who will be deeply missed.
El documento proporciona información sobre 5 empleados incluyendo sus nombres, apellidos, especialidad, sueldo básico, horas extras trabajadas, número de hijos, bonos recibidos y estados de pago del IESS y bonos. También incluye las fórmulas para calcular las horas extras, los bonos y las deducciones de IESS.
Marjorie thompson emerging technologies power point presentationunicorn-rose
Anais writes a letter to Ramone describing how she suddenly found herself transported to a mysterious island without explanation. She shares that only time will tell if she is pleased or annoyed by her new surroundings. Anais includes pictures of the island, its science center where she sits with an ashen complexion, a large conference room, an abstract dean's office, and an unpolluted coastline, hoping Ramone will understand once they are reunited, though she warns that her appearance may change at any time.
Weaving is one of the oldest methods of fabric production and was an important part of life in Slovakian villages, where people would weave mainly in the winter months when not working in the fields. Weaving remains one of the most common crafts in Slovakia, with certain regions like Spiš, Saris, Orava, Gemer and Liptov having the highest concentrations of weavers and their own distinctive weaving motifs. The mechanical weaving loom was invented in 1785 based on the hand loom technique that has been used for over 4,000 years, automating the weaving process.
Edudex: één standaard en één adres voor opleidingsinformatieRino Schreuder
EDU-DEX maakt aantrekkende opleidingsmarkt transparant
EDU-DEX vormt het centrale adres voor het gemeenschappelijke Nederlandse opleidingsaanbod. Duizenden cursussen en opleidingen van al meer dan 30 opleidingsinstituten worden nu bij elkaar gebracht - op basis van één nationale data-standaard. Hieronder zijn o.a. AOG, de Baak, Boertien Vergouwen Overduin, GITP, Interlingua, ISBW, NCOI, Nyenrode, Schouten & Nelissen, Tias en Zuidema. Afnemers kunnen nu op één adres selecteren welke opleidingen het beste bij ze passen; en de gegevens hierover gratis downloaden in hun eigen systeem.
La Unión Europea ha propuesto un nuevo paquete de sanciones contra Rusia que incluye un embargo al petróleo. El embargo prohibiría las importaciones de petróleo ruso por mar y por oleoducto, aunque se concederían exenciones temporales a Hungría y Eslovaquia. Este embargo sería la sanción económica más dura contra Rusia hasta la fecha en respuesta a su invasión continua de Ucrania.
Are you passionate dancer or a dance troupe? Do you have what it takes to teach others to dance? Are you low on budget to set up your own dance studio? Then take a look at this presentation to find out how simply and easily you can start your own dance classes.
The document summarizes information about Prashar Lake located near Mandi, India. Prashar Lake is a sacred lake named after the sage Prashar who meditated there. It is surrounded by a dense deodar forest and offers scenic natural beauty. In winters, there is a 7-8 km trek to reach the lake starting from Baggi Village. The area around the lake remains untouched by modern amenities and provides a place to relax and connect with nature.
This document provides instructions for visualizing protein structures using the molecular visualization tool Jmol. It summarizes that Jmol can be used to display protein structures from the Protein Data Bank using different rendering schemes like ball and stick, cartoon, and spacefill. Specific instructions are given to find the Gal4p protein structure with the accession number 3COQ and customize the visualization by selecting parts of the structure, changing colors of atoms or groups, and exporting the image. The goal is to demonstrate how to interact with and customize protein structures displayed in Jmol.
O documento relata a visita do médium Divaldo Franco à cidade de Santa Maria no Rio Grande do Sul. Ele deu uma palestra sobre transtornos psiquiátricos e obsessivos para um público de aproximadamente 4.500 pessoas. O documento também menciona projetos de divulgação da doutrina espírita como outdoors e eventos em centros espíritas locais.
The most innovative guys in the room don't always winAdam Higdon
This document discusses imitation as a business strategy. It provides examples of companies that successfully imitated the business models of other companies. Ryanair imitated the low-cost airline model of Southwest Airlines. LoveFilm imitated the DVD and streaming subscription model of Netflix. Imitation allows companies to benefit from pre-existing successes while avoiding risks and costs of innovating. The document argues that intentional imitation can be an effective adaptive strategy for market entrance and survival.
High speed script execution for GUI automation using computer visionIJECEIAES
Software testing by using open source tool like Selenium windows applications cannot be automated, citrix based applications, flash websites and games. Computer vision based automation tools can be used to automate these kinds of applications. These automation tools works based on screenshots of GUI objects like button, radio button, text box, images, dropdowns etc. In this paper a prototype of automation tool has been developed which can execute the automation scripts much faster than existing tools like Sikuli, which takes much time to run the Automation scripts. The execution time can be reduced by using this proposed tool.
RPA Developer Kickstarter | Day 3: UI Automation and UiPath SelectorsRohit Radhakrishnan
The document discusses UI automation in UiPath, including how it works by simulating mouse and keyboard inputs and outputs, and the various activities used for inputting data to and extracting data from applications. It covers selectors for identifying UI elements, the UI Explorer tool, and different input and output methods like hardware events, send window message, and simulate. The goal of the session is to introduce attendees to UI automation concepts and have them complete an assignment automating a password generator app.
GUI-based testing involves exercising a program's graphical user interface to detect errors. There are several approaches to GUI-based testing, including model-based testing using event-flow or state models, capture and replay of user sessions, and manual testing. Choosing a testing approach depends on factors like the GUI technology. Tools like Marathon and Abbot can automate capturing, replaying, and checking GUI test cases to make the process more efficient.
DEPLOYMENT OF CALABASH AUTOMATION FRAMEWORK TO ANALYZE THE PERFORMANCE OF AN ...Journal For Research
The use of mobile phones has grown rapidly and has become a vital part in the present era. The conventional software testing practices are not really feasible for mobile applications. Test Automation does not cover all the necessary features, which makes manual testing also very crucial. The challenge is even greater. The problem is even greater in projects where agile methodologies are deployed. In such projects Test Automation plays a very significant role and is very important during the development cycle. The Automation Framework should be deployable on multiple heterogeneous platforms. The actions that are frequently used in the mobile devices are extracted. They are then mapped into the corresponding functions of Calabash testing framework.The objective and intention of this paper is to bring out significant merits and demerits of different Automation Frameworks and then use the Calabash Automation Framework to develop the Performance Analysis module which can effectively determine the launch time of the mobile application.
This presentation is based on Android application testing fundamentals. I have shared some basic idea about different automated android testing frameworks.
The document discusses an automation framework for testing an application under test (AUT). It summarizes that an automation framework uses an automation tool to test an AUT by executing and comparing test results. It then evaluates different automation tools based on features and selects TestComplete as the most suitable tool. Finally, it discusses implementing the framework using block diagrams, test scripts, function libraries and storing results in CSV files for reporting.
IRJET- Real-Time Object Detection System using Caffe ModelIRJET Journal
This document discusses a real-time object detection system using the Caffe model. The authors used OpenCV, Caffe model, Python and NumPy to build a system that can detect objects like humans and vehicles in images and videos. It discusses how deep learning techniques like convolutional neural networks can be used for tasks like object localization, classification and feature extraction. Specifically, it explores using the Caffe framework to implement real-time object detection with OpenCV by accessing the webcam and applying detection to each frame.
The document discusses automated testing of web applications. It presents different approaches to web testing including GUI automation, HTML automation, and DOM automation. Selenium RC is introduced as a testing platform that uses DOM automation. Selenium RC allows tests to be run programmatically across browsers and platforms. It can be extended with custom commands and locators to better suit specific applications like ones built with the JavaScript framework qooxdoo.
Top 15 Appium Interview Questions and Answers in 2023.pptxAnanthReddy38
Appium is an open-source test automation framework for mobile applications on Android and iOS platforms. It allows writing tests using various programming languages and supports testing native, hybrid, and mobile web applications. Appium uses a client-server architecture with the Appium server acting as a bridge between test scripts and the mobile application under test. It identifies elements using attributes like ID, class name, etc. and allows performing various actions and gestures like tapping, swiping, etc. on mobile applications.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Automated Testing: An Edge Over Manual Software Testingijtsrd
Software Testing is a process of finding errors while executing a program so that we get a zero defect software. It is aimed at evaluating the capability or usability of a program. Software testing is an important means of accessing quality of software. Complex systems are being built and testing throughout the software development cycle is valid to the success of the software. Testing is very expensive process. Manual testing involves a lot of effort, Measured in person per month. These efforts can be reduced by using the automated testing with specific tools. Jyotsna | Mukul Varshney | Shivani Garg | Abha Kiran Rajpoot"Automated Testing: An Edge Over Manual Software Testing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2232.pdf http://www.ijtsrd.com/computer-science/computer-security/2232/automated-testing-an-edge-over-manual-software-testing/jyotsna
Edudex: één standaard en één adres voor opleidingsinformatieRino Schreuder
EDU-DEX maakt aantrekkende opleidingsmarkt transparant
EDU-DEX vormt het centrale adres voor het gemeenschappelijke Nederlandse opleidingsaanbod. Duizenden cursussen en opleidingen van al meer dan 30 opleidingsinstituten worden nu bij elkaar gebracht - op basis van één nationale data-standaard. Hieronder zijn o.a. AOG, de Baak, Boertien Vergouwen Overduin, GITP, Interlingua, ISBW, NCOI, Nyenrode, Schouten & Nelissen, Tias en Zuidema. Afnemers kunnen nu op één adres selecteren welke opleidingen het beste bij ze passen; en de gegevens hierover gratis downloaden in hun eigen systeem.
La Unión Europea ha propuesto un nuevo paquete de sanciones contra Rusia que incluye un embargo al petróleo. El embargo prohibiría las importaciones de petróleo ruso por mar y por oleoducto, aunque se concederían exenciones temporales a Hungría y Eslovaquia. Este embargo sería la sanción económica más dura contra Rusia hasta la fecha en respuesta a su invasión continua de Ucrania.
Are you passionate dancer or a dance troupe? Do you have what it takes to teach others to dance? Are you low on budget to set up your own dance studio? Then take a look at this presentation to find out how simply and easily you can start your own dance classes.
The document summarizes information about Prashar Lake located near Mandi, India. Prashar Lake is a sacred lake named after the sage Prashar who meditated there. It is surrounded by a dense deodar forest and offers scenic natural beauty. In winters, there is a 7-8 km trek to reach the lake starting from Baggi Village. The area around the lake remains untouched by modern amenities and provides a place to relax and connect with nature.
This document provides instructions for visualizing protein structures using the molecular visualization tool Jmol. It summarizes that Jmol can be used to display protein structures from the Protein Data Bank using different rendering schemes like ball and stick, cartoon, and spacefill. Specific instructions are given to find the Gal4p protein structure with the accession number 3COQ and customize the visualization by selecting parts of the structure, changing colors of atoms or groups, and exporting the image. The goal is to demonstrate how to interact with and customize protein structures displayed in Jmol.
O documento relata a visita do médium Divaldo Franco à cidade de Santa Maria no Rio Grande do Sul. Ele deu uma palestra sobre transtornos psiquiátricos e obsessivos para um público de aproximadamente 4.500 pessoas. O documento também menciona projetos de divulgação da doutrina espírita como outdoors e eventos em centros espíritas locais.
The most innovative guys in the room don't always winAdam Higdon
This document discusses imitation as a business strategy. It provides examples of companies that successfully imitated the business models of other companies. Ryanair imitated the low-cost airline model of Southwest Airlines. LoveFilm imitated the DVD and streaming subscription model of Netflix. Imitation allows companies to benefit from pre-existing successes while avoiding risks and costs of innovating. The document argues that intentional imitation can be an effective adaptive strategy for market entrance and survival.
High speed script execution for GUI automation using computer visionIJECEIAES
Software testing by using open source tool like Selenium windows applications cannot be automated, citrix based applications, flash websites and games. Computer vision based automation tools can be used to automate these kinds of applications. These automation tools works based on screenshots of GUI objects like button, radio button, text box, images, dropdowns etc. In this paper a prototype of automation tool has been developed which can execute the automation scripts much faster than existing tools like Sikuli, which takes much time to run the Automation scripts. The execution time can be reduced by using this proposed tool.
RPA Developer Kickstarter | Day 3: UI Automation and UiPath SelectorsRohit Radhakrishnan
The document discusses UI automation in UiPath, including how it works by simulating mouse and keyboard inputs and outputs, and the various activities used for inputting data to and extracting data from applications. It covers selectors for identifying UI elements, the UI Explorer tool, and different input and output methods like hardware events, send window message, and simulate. The goal of the session is to introduce attendees to UI automation concepts and have them complete an assignment automating a password generator app.
GUI-based testing involves exercising a program's graphical user interface to detect errors. There are several approaches to GUI-based testing, including model-based testing using event-flow or state models, capture and replay of user sessions, and manual testing. Choosing a testing approach depends on factors like the GUI technology. Tools like Marathon and Abbot can automate capturing, replaying, and checking GUI test cases to make the process more efficient.
DEPLOYMENT OF CALABASH AUTOMATION FRAMEWORK TO ANALYZE THE PERFORMANCE OF AN ...Journal For Research
The use of mobile phones has grown rapidly and has become a vital part in the present era. The conventional software testing practices are not really feasible for mobile applications. Test Automation does not cover all the necessary features, which makes manual testing also very crucial. The challenge is even greater. The problem is even greater in projects where agile methodologies are deployed. In such projects Test Automation plays a very significant role and is very important during the development cycle. The Automation Framework should be deployable on multiple heterogeneous platforms. The actions that are frequently used in the mobile devices are extracted. They are then mapped into the corresponding functions of Calabash testing framework.The objective and intention of this paper is to bring out significant merits and demerits of different Automation Frameworks and then use the Calabash Automation Framework to develop the Performance Analysis module which can effectively determine the launch time of the mobile application.
This presentation is based on Android application testing fundamentals. I have shared some basic idea about different automated android testing frameworks.
The document discusses an automation framework for testing an application under test (AUT). It summarizes that an automation framework uses an automation tool to test an AUT by executing and comparing test results. It then evaluates different automation tools based on features and selects TestComplete as the most suitable tool. Finally, it discusses implementing the framework using block diagrams, test scripts, function libraries and storing results in CSV files for reporting.
IRJET- Real-Time Object Detection System using Caffe ModelIRJET Journal
This document discusses a real-time object detection system using the Caffe model. The authors used OpenCV, Caffe model, Python and NumPy to build a system that can detect objects like humans and vehicles in images and videos. It discusses how deep learning techniques like convolutional neural networks can be used for tasks like object localization, classification and feature extraction. Specifically, it explores using the Caffe framework to implement real-time object detection with OpenCV by accessing the webcam and applying detection to each frame.
The document discusses automated testing of web applications. It presents different approaches to web testing including GUI automation, HTML automation, and DOM automation. Selenium RC is introduced as a testing platform that uses DOM automation. Selenium RC allows tests to be run programmatically across browsers and platforms. It can be extended with custom commands and locators to better suit specific applications like ones built with the JavaScript framework qooxdoo.
Top 15 Appium Interview Questions and Answers in 2023.pptxAnanthReddy38
Appium is an open-source test automation framework for mobile applications on Android and iOS platforms. It allows writing tests using various programming languages and supports testing native, hybrid, and mobile web applications. Appium uses a client-server architecture with the Appium server acting as a bridge between test scripts and the mobile application under test. It identifies elements using attributes like ID, class name, etc. and allows performing various actions and gestures like tapping, swiping, etc. on mobile applications.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Automated Testing: An Edge Over Manual Software Testingijtsrd
Software Testing is a process of finding errors while executing a program so that we get a zero defect software. It is aimed at evaluating the capability or usability of a program. Software testing is an important means of accessing quality of software. Complex systems are being built and testing throughout the software development cycle is valid to the success of the software. Testing is very expensive process. Manual testing involves a lot of effort, Measured in person per month. These efforts can be reduced by using the automated testing with specific tools. Jyotsna | Mukul Varshney | Shivani Garg | Abha Kiran Rajpoot"Automated Testing: An Edge Over Manual Software Testing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2232.pdf http://www.ijtsrd.com/computer-science/computer-security/2232/automated-testing-an-edge-over-manual-software-testing/jyotsna
ZigBee is a wireless networking standard developed for low-powered devices that require small data throughput. It allows for the creation of mesh networks that are self-healing if a device fails. ZigBee uses 128-bit AES encryption for security and has been designed to have simple setup and long battery life. Computer Assisted Auditing Techniques (CAATs) can be used to validate data and system integrity through testing data, integrated test facilities, and parallel simulation. CAATs improve audit documentation and increase an auditor's productivity. Social validation research has found that descriptive social norms and likability can influence compliance without direct social pressure.
A Modern Dive into QA Automation and BeyondPratik Patel
A Modern Dive into Automation and Beyond
This presentation provides a comprehensive overview of software testing and test automation fundamentals, techniques, and tools. It covers:
1) Basics of software testing - validation, verification, key testing types
2) Introduction to manual testing - its role, writing test cases, test management
3) Overview of test automation - benefits, categories, examples
4) Web test automation - tools like Selenium, Cypress, Playwright
5) Mobile test automation - tools like Appium, Espresso, XCUITest
6) Leveraging AI for test automation
IRJET- An Efficient Automation Framework for Testing ITS Solution using SeleniumIRJET Journal
This document presents an efficient automation framework for testing intelligent transportation system (ITS) solutions using Selenium. It discusses creating a Selenium framework to automate test cases on ITS web applications. The framework aims to provide maintainability, productivity and easier result analysis. It proposes a data-driven framework using Selenium to test the user management module of an ITS web application. The implementation details creating test data sheets, storing test data in variables, executing test cases, and writing results back to output files are discussed. Algorithms for file handling, providing test data from Excel sheets are presented. The framework automates validation, functional, integration and penetration testing of the ITS web application in an efficient and reusable manner.
In this fast-paced world, organizations hardly operate on a single software as they need different software to execute or carry out different business operations. An average company uses 40 different software for their various needs. For instance, an organization uses Workday for human resource management, Salesforce for CRM, SAP for finance, etc.
The document describes a project that aims to project 2D images as 3D holographic images inside a glass pyramid and interact with them using gesture recognition. The project converges augmented reality, 3D holographic projection, and sensors. It will use a gesture control device to control the orientation of 3D holograms projected inside the pyramid based on hand gestures. The project details include requirements, design, implementation plan, and testing approach.
Unit testing focuses on testing individual software modules to uncover errors. Integration testing tests interfacing between modules incrementally to isolate errors. Testing objectives are to find errors, use high probability test cases, and ensure specifications are met. Reasons to test are for correctness, efficiency, and complexity. Test oracles verify expected outputs to increase automated testing efficiency and reduce costs, though complete automation has challenges.
Similar to Hidden Object Detection for Computer Vision Based Test Automation System (20)
MobiManager helps you to manage, control, and secure company-owned Android devices. It allows you to distribute apps and contents across a wide range of mobile devices from the cloud.
MobiManager platform consists of overlapping defense and security mechanisms that protect against intrusion, malware, and more malicious threats.
Business benefit of Mobile device managementSyeful Islam
MobiManager - Cloud-based mobile device management solution which helps small and large businesses to
• Secure
• Monitor
• Manage
• Support mobile devices, deployed across organization for work purpose.
INfor- Mobile cloud Solution
Bring your essentials wherever your Mobile takes you. INforcloud puts your data at your fingertips, under your control. Store your documents, calendar, contacts and photos on a server at home, at one of our providers or in a data center you know.
A New Approach: Automatically Identify Proper Noun from Bengali Sentence for ...Syeful Islam
More than hundreds of millions of people of almost all levels of education and attitudes from different country communicate with
each other for different using various languages. Machine translation is highly demanding due to increasing the usage of web
based Communication. One of the major problem of Bengali translation is identified a naming word from a sentence, which is
relatively simple in English language, because such entities start with a capital letter. In Bangla we do not have concept of small
or capital letters and there is huge no. of different naming entity available in Bangla. Thus we find difficulties in understanding
whether a word is a proper noun or not. Here we have introduce a new approach to identify proper noun from a Bengali sentence
for UNL without storing huge no. of naming entity in word dictionary. The goal is to make possible Bangla sentence conversion
to UNL and vice versa with minimal storing word in dictionary.
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...Syeful Islam
More than hundreds of millions of people of almost all levels of education and attitudes from
different country communicate with each other for different using various languages. Machine
translation is highly demanding due to increasing the usage of web based Communication. One of
the major problem of Bengali translation is identified a naming word from a sentence, which is
relatively simple in English language, because such entities start with a capital letter. In Bangla we
do not have concept of small or capital letters and there is huge no. of different naming entity
available in Bangla. Thus we find difficulties in understanding whether a word is a naming word
(proper noun) or not. Here we have introduced a new approach to identify naming word from a
Bengali sentence for UNL without storing huge no. of naming entity in word dictionary. The goal is
to make possible Bangla sentence conversion to UNL and vice versa with minimal storing word in
dictionary.
Disordered Brain Modeling Using Artificial Network SOFMSyeful Islam
Autism is known as a neurobiological developmental disorder which affects language,
communication, and cognitive skill. In the case of autism attention shift impairment and
strong familiarity preference are considered to be prime deficiencies. Attention shift
impairment is one of the most seen behavioral disorders found in autistic patients. We
have model this behavior by employing self-organizing feature map (SOFM).
Disordered Brain Modeling Using Artificial Network SOFMSyeful Islam
This document summarizes a research paper that models attention shift impairment in autistic individuals using an artificial neural network called Self Organizing Feature Map (SOFM). SOFM is an unsupervised learning algorithm that can train autistic people to recognize and learn objects. The document provides background on autism as a neurodevelopmental disorder characterized by social and communication difficulties. It describes research showing differences in brain structure and function in autistic individuals, pointing to the cortex being differently wired. It also summarizes treatment approaches and long-term outcomes for autism.
It covers:
- What is jQuery?
- Why jQuery?
- How include jQuery in your web page
- Creating and manipulating elements
- Events
- Animations and effects
- Talking to the server
- jQuery UI
- Writing plugins
- Breaking news around new releases
- Using the CDN
An Algorithm for Electronic Money Transaction Security (Three Layer Security)...Syeful Islam
In the era ofinternet, most ofthe people all over the world completed their transaction
on internet. Though the user of electronic transaction or E-money transaction system
increase rapidly but the majority person are concern about the security of this system.
The growth in online transactions has resulted in a greater demand for fast and accurate
user identification and authentication. Conventional method of identification based on
possession of ID cards or exclusive knowledge like a social security number or a
password are not all together reliable. Identification and authentication by individuals'
biometric characteristics is becoming an accepted procedure that is slowly replacing the
most popular identification procedure – passwords. Among all the biometrics, fingerprint
based identification is one of the most mature and proven technique. Along with the
combination of conventional system, biometric security, Global positioning system(GPS)
and mobile messaging we have design an algorithm which increase security ofelectronic
transaction and more reliable to user. A three layer security model to enhancing security
ofelectronic transaction is proposed in this paper.
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...Syeful Islam
More than hundreds of millions of people of almost all levels of education and attitudes from different country communicate with each other for different purposes using various languages. Machine translation is highly demanding due to increasing the usage of web based Communication. One of the major problem of Bengali translation is identified a naming word from a sentence, which is relatively simple in English language, because such entities start with a capital letter. In Bangla we do not have concept of small or capital letters and there is huge no. of different naming entity available in Bangla. Thus we find difficulties in understanding whether a word is a naming word or not. Here we have introduced a new approach to identify naming word from a Bengali sentence for machine translation system without storing huge no. of naming entity in word dictionary. The goal is to make possible Bangla sentence conversion with minimal storing word in dictionary.
Design Analysis Rules to Identify Proper Noun from Bengali Sentence for Univ...Syeful Islam
Abstract—Now-a-days hundreds of millions of people of
almost all levels of education and attitudes from different
country communicate with each other for different
purposes and perform their jobs on internet or other
communication medium using various languages. Not all
people know all language; therefore it is very difficult to
communicate or works on various languages. In this
situation the computer scientist introduce various inter
language translation program (Machine translation). UNL
is such kind of inter language translation program. One of
the major problem of UNL is identified a name from a
sentence, which is relatively simple in English language,
because such entities start with a capital letter. In Bangla
we do not have concept of small or capital letters. Thus
we find difficulties in understanding whether a word is a
proper noun or not. Here we have proposed analysis rules
to identify proper noun from a sentence and established
post converter which translate the name entity from
Bangla to UNL. The goal is to make possible Bangla
sentence conversion to UNL and vice versa. UNL system
prove that the theoretical analysis of our proposed system
able to identify proper noun from Bangla sentence and
produce relative Universal word for UNL.
Performance Evaluation of Finite Queue Switching Under Two-Dimensional M/G/1...Syeful Islam
Abstract—In this paper we consider a local area network (LAN) of dual mode service
where one is a token bus and the other is a carrier sense multiple access with a collision
detection (CSMA/CD) bus. The objective of the paper is to find the overall cell/packet
dropping probability of a dual mode LAN for finitelength queue M/G/1(m) traffic. Here, the
offered traffic of the LAN is taken to be the equivalent carried traffic of a one-millisecond
delay. The concept of a tabular solution for two-dimensional Poisson’s traffic of circuit
switching is adapted here to find the cell dropping probability of the dual mode packet
service. Although the work is done for the traffic of similar bandwidth, it can be extended
for the case of a dissimilar bandwidth of a circuit switched network.
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Emergency Notification:
It is an emergency case to notify some important person or other concern person when we fall in any problem such as accident or attacked by criminal or any other incidence. On other hands it also needs to track victim location to help him from incidence.
Already some concept grows about emergency notification some people try to give solution. But they can’t think the whole scenario or their solution is not realistic or they use this concept to resolve other purpose.
To resolve this problem here I proposed an interactive, user friendly and more efficient solution by smartphone. I have given an idea about emergency notification system in Samsung phone, which can solve this.
Here I want to mention some common incidence and how our phone helps us in that incident. In our regular life we can fall into various incidents such as
- Accident
- Attacked by snatcher, criminal or terrorist
- Suddenly fall into sick (Heart attack, stroke or others) etc.
In the case of accident if victim fatally injured or there is any situation that, victim can’t get enough time to call or notify someone or group of people to help him. This situation can happen if anyone fall in sudden sick and he/she want to call his/her relatives to help him. But they cannot capable to talk. If anyone attacked by snatcher, criminal or terrorist, then it is emergency to informed police or other concern person. But it is impossible to inform police by call.
To overcome this problem I proposed a system which can notify concern person automatically if user fall any incident. There is also need to track the location of victims because the location of victims can be changed and it is emergency to know the latest location where victim exist otherwise it is difficult to find out the victim and help him.
Business Value:.
- This is more realistic feature and more users friendly and efficient.
- I hope this also minimize our life risk or our tension when we are out of home or away from family members or there’s.
Development of analysis rules to identify proper noun from bengali sentence f...Syeful Islam
- Today the regional economies, societies, cultures and educations are integrated through a globe-spanning network of communication and trade.
- This globalization trend evokes for a homogeneous platform so that each member of the platform can apprehend what other intimates and perpetuates the discussion in a mellifluous way.
- However the barriers of languages throughout the world are continuously obviating the whole world from congregating into a single domain of sharing knowledge and information.
- Therefore researcher works on various languages and tries to give a platform where multi lingual people can communicate through their native language.
- Researcher analyze the language structure and form structural grammar and rules which used to translate one language to other.
- From the last few years several language-specific translation systems have been proposed.
- Since these systems are based on specific source and target languages, these have their own limitations.
- As a consequence United Nations University/Institute of Advanced Studies (UNU/IAS) were decided to develop an inter-language translation program .
- The corollary of their continuous research leads a common form of languages known as Universal Networking Language (UNL) and introduces UNL system.
- UNL system is an initiative to overcome the problem of language pairs in automated translation. UNL is an artificial language that is based on Interlingua approach.UNL acts as an intermediate form computer semantic language whereby any text written in a particular language is converted to text of any other forms of languages.
- UNL system consists of major three components:
- language resources
- software for processing language resources (parser) and
- supporting tools for maintaining and operating language processing software or developing language resources.
- The parser of UNL system take input sentence and start parsing based on rules and convert it into corresponding universal word from word dictionary.
- The challenge in detection of named is that such expressions are hard to analyze using UNL because they belong to the open class of expressions, i.e., there is an infinite variety and new expressions are constantly being invented.
- Bengali is the seventh popular language in the world, second in India and the national language of Bangladesh.
- So this is an important problem since search queries on UNL dictionary for proper nouns while all proper nouns(names) cannot be exhaustively maintained in the dictionary for automatic identification.
In this research project we do this task , Proper noun detection and conversion.
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Hidden Object Detection for Computer Vision Based Test Automation System
1. Hidden Object Detection for Computer Vision Based Test Automation
System
RAJIBUL ANAM, MD. SYEFUL ISLAM, MOHAMMAD OBAIDUL HAQUE
Samsung R&D Institute Bangladesh
BANGLADESH
rajibul.an@samsung.com, syeful.islam@samsung.com, obaidul.h@samsung.com
Abstract: In Software Quality Assurance, computer vision based automation tools are used to test the window
based application and window contains many type of objects like button, box, list, etc. Automation tool detect
window objects by comparing images. Most of the objects are visible in the screen but some are not visible to
the screen at the first time, proper interaction with the window application hidden objects get visible to the
screen like drop-down list item, editor text object, list box item and slider. With the vision based automation
systems these hidden objects cannot be searched directly. In this paper proposes some methods which use
image and shortcut key to interact with the testing software to search the hidden objects. These methods will
enhance the automation tools to access the window application hidden objects faster.
Key-Words: - test case automation; software quality assurance; vison based; window application
1 Introduction
Software Quality Assurance (QA) is one of the
critical areas of software development process life
cycle. After co-work with developer and designers,
QA ensures the correctness of the operation by
testing the software application through different
type of test cases [1]. Many methods have been used
to test the software and among them Black Box and
White Box Testing are very commonly used. Black
Box testing consists of specification and experience
based testing, which checks the entire software
operation [1-2]. White Box testing follows the
structure based testing, which checks the software
process flow [1-2]. QA testing actions or steps are
executed by mouse and key events, after the events,
program flows and interfaces get change [2], which
is the part of the QA testing. Manual testing
operates by human, it executes series of steps and
check for the specific output which has chances of
error [1],[3]. But Automation System executes
series of steps according to the code instruction,
which executes test steps faster than human and less
error [3]. Moreover, automation system has been
used for Black Box testing because it follows
specific test steps and expects for target results.
Most of the testing application needs to be tested
with the predefined Test Cases (TC). These
predefined TCs can be automated, so the testing will
be faster and human dependency will be reduced.
Graphical User Interface (GUI) QA testing
purpose many type of automation system have been
used such as Pesto [4], DEVSimPy [5], Watir [1],
Selenium [7], Sikuli [6],[8]. These systems either
use the vision based or screen objects position
pointing technique to track the screen objects. Script
re-usability and smooth execution are essential for
the automation system [6]. Automation system
executes QA testing steps/actions easily by tracing
image and objects position. GUI applications has
hidden or not visible objects like text objects in the
editor, drop-down list object, multi tab scroll object
and slider. These types of hidden objects can be
searched easily by manual QA testing. But vision
based systems firstly; trace objects (image) and
secondly, execute action events on the screen object
position. Vision based system uses only image
based object detection method, which uses only
mouse events to interact with the GUI testing
application therefore, complex steps like search
hidden object from a list box or slider scrolling
takes time and sometimes failed to trace the target
hidden object. Considering these difficulties,
focuses on how to access hidden objects accurately
and enhance re-usability.
This paper proposes some methods that will
enhance vision based automation tools to discover
hidden objects (GUI elements) from the GUI based
applications by using key and mouse events. Vision
based system uses only mouse events therefore,
include the key events (shortcut key additional
feature) to trace the hidden object easily and
accurately. The propose methods use shortcut key
WSEAS TRANSACTIONS on COMPUTERS Rajibul Anam, Md. Syeful Islam, Mohammad Obaidul Haque
E-ISSN: 2224-2872 570 Volume 14, 2015
2. and click (image object to click on the GUI
application) for action events, then interact with the
visible objects through few steps, afterwards the
hidden object gets visible on the screen. The
proposed methods will enhance the vision based
automation systems to search the hidden objects
faster.
This paper is arranged as follows. Section 2
provides brief review of other automation tools for
GUI testing. Section 3 describes about the proposed
solution. Section 4 details of the usability study and
finally conclusion is on section 5.
2 Related Works
Software QA testing automation systems has been
used to reduce human effort. Automation systems
trace the target objects by screen object position,
image matching and source name. Automation
actions/steps are executes by click, drag-and-drop
and keyboard events. Tools like Sikuli, Robot and
Pesto uses image tracing, object source name and
object screen position to access the object. These
automation systems developed either on vision
based or screen objects position detection based
methods. Below discuss details of these two types of
automation systems.
2.1 Vision Based Automation
Sikuli is an open source GUI vision based
automation system, which searches the target object
using screenshot [8-10]. The IDE permits users to
take a screenshot of the target object (GUI elements)
such as button, icon, dialog box and run time detects
the object to direct the mouse and keyboard events
[11-13]. Figure 1 illustrates the Sikuli Framework,
where built-in modules are available like find, click
and key events [14]. There are more modules
available which cannot be used from IDE directly. It
has the Application Programming Interface (API)
for testing and developing the library. It is a
platform independent framework.
Robot Framework is a generic testing automation
system to test Acceptance Test-Driven Development
(ATDD) [15]. ATDD is a process where developers
and testers discuss the demands required by the
customers to come with the acceptance test before
development. The acceptance test provides the
functional importance of the software [15].
Figure 1. Sikuli Framework
Figure 2. Robot Framework
The aim of the acceptance tests is to justify the
requirements by providing examples for each test.
The examples can be tested to prove compliance.
The script language is written using plain English
natural commands called Keywords [9]. Keywords
are common like methods in programming
language. Natural command keywords make the
tests more readable and easy to understand even for
non-coders. This framework script writing is
extended to Python (can run also on both Ironpython
and Jython) or java. The developers can use the
existing syntax to create the script or can create own
syntax. Robot framework uses for GUI testing and
system resource management, but only java based
software can be tested. It generates auto report of
the testing as html and text format. It has the API for
testing and developing the library.
2.2 Screen Objects Position Detection Based
Automation System
The TestComplete [16], TestPlant [17] and Squish
[18] are recoding based framework. These systems
WSEAS TRANSACTIONS on COMPUTERS Rajibul Anam, Md. Syeful Islam, Mohammad Obaidul Haque
E-ISSN: 2224-2872 571 Volume 14, 2015
3. record user interaction events according to the
screen object position and replay time these systems
execute the events according to the recorded
sequence. Replay time these systems execute the TC
very fast and generate a report of the TC. These
systems use their own language to generate script
and developers can edit the auto generated scripts.
Recording time these systems track the user events
position like mouse click position, drag-and-drop
positions and keyboard input information. If the
testing software font, color gets change then the
recorded script can be replay unless the application
layout has changes. Moreover recording and replay
(execution) time the screen size (resolution) should
be same because all the action events execute
according to the objects position. If the app window
or pop-up window position gets change on the
screen then replay time generate errors. The
application layout should be same at recording and
replay time.
3 Proposed Solution
Various types of automation systems are available
and most of it uses vision based algorithm to search
the GUI target objects. These systems take the
screenshot of the window first; then select the target
object from the screenshot and interact with the
application by mouse or key events. These systems
are used to search the GUI window target objects
like toolbar button, menu item, icon and dialog box
[14]. Moreover, searching arbitrary depends on the
screenshot and the target object image. If the target
objects image do not matches with the screenshot
image, then automation system could not search the
target object in the screen. In this case system
searches for an object which is not visible (hidden
object) in the screen or the object is not available in
the testing software. But the hidden object needs to
be search because it is available in the testing
software and part of the TC. The automation system
would not be able to search the target object until
the target object gets visible on the screen. Current
approaches required entering an image as query to
search the target object. If searching for a hidden
object in the window screen and could not trace the
target object then it will generate an error, which is
a limitation of the vision based automation system.
The proposed method searches hidden objects
like item in the editor, drop-down list object, multi
tab scroll object and slider positions. In addition
shortcut key events has introduced instead of
screens object image to trace the target object. The
Editor Scroll-bar Object Selection method uses to
search the hidden object from a scroll-bar affiliated
object. The Drop-down List Object Selection
method is applicable to search hidden object from
the drop-down list. The Multi Tab List Object
Selection method is valid to search the hidden object
from the multi tab list box and Slider Positon
Selection method is applicable to search and puts
the slider position according to the code instruction.
Below sections discuss details of the proposed
methods which uses mouse and key (shortcut key)
events.
3.1 Editor Scroll-bar Object Selection
(ESOS)
QA testing time automation system needs to check
the text editor or webpage interface and font
decoration objects. It becomes very hard to find text
object in the editor which contains a long page and
the target text object stand at the end of the page, at
this scenario the stroller get enabled. But hidden
objects do not appear on the screen and could be
visible unless the system searches for the hidden
objects [14]. Figure 3 shows the editor screen with
scroll-bar object, where a text editor is opened. The
automation system needs to search the figure 4
hidden target object (search in the screen) in the
(figure 3) text editor. In this scenario the automation
system needs to scroll down the scroll-bar using the
mouse [13]. There is no specific method for the
scroll-bar to scroll down at specific point. To solve
this problem, proposed the ESOS method where the
scroll-bar will be scroll down until it reaches the
target object.
Figure 5 line 1-2 searches the mainobject (the
style.css object) and take focus on the style.css
object. Line 3 puts the cursor at the beginning of the
editor. Line 4-8 searches for the targetobject (figure
4), if it does not find targetobject, then goes to the
next line until it reaches to the targetobject (figure
4). If the targetobject found then select (click) the
hidden target object. The scroll-bar cannot be used
directly (can access it but cannot scroll it as
requires) and with this method automation system
can search the hidden object from the screen without
scrolling the scroll-bar. Figure 6 shows where the
hidden object gets visible and hidden target object is
found by using this method.
WSEAS TRANSACTIONS on COMPUTERS Rajibul Anam, Md. Syeful Islam, Mohammad Obaidul Haque
E-ISSN: 2224-2872 572 Volume 14, 2015
4. Figure 3. Screenshots of a Scrolling Object
Figure 4. Hidden Target Object
Figure 5. Editor Scrollbar Object Selection Method
Figure 6. After Scrolling the Screen
3.2 Drop-down List Object Selection
(DLOS)
Drop-down list objects are used in the window and
web based applications. There is some drop-down
list which contains text with images. Most of the
drop-down list contains long item lists which need
to check and test for the QA. If drop-down item list
is long, then most of the items will not be visible on
the screen [14] which creates hidden object in the
list. But drop-down list hidden object items cannot
be access properly by the automation system
because the scroll-bar appears dynamically and
needs to scroll it to get the hidden object. The
proposed DLOS method will enhance the
automation system to search the hidden objects from
the drop-down list.
Figure 7. Screenshot of Dropdown List
Figure 8. Hidden Target Object
Figure 9. Dropdown List Object Selection Method
Figure 7 shows the drop-down list with long item
lists which contains hidden object. Figure 8 shows
the hidden target object which needs to search from
the drop-down list. Figure 9 shows the DLOS
algorithm where line 1 uses shortcutkey to select the
drop-down list object. Line 2-6 searches for the
targetobject from the list, if not found targetobject
then goes to the next list item until it reaches to the
targetobject. Figure 10 shows the targetobject
style.css object
Scrollbar needs to scroll down
Scrollbar needs to scroll down
Input:
mainobject is an image or text object to focus on the object;
targetobject is an image object;
Output:
targetobject get selected;
Variables:
screenimage is the desktop screen capture image;
onelinedown is an keyboard value to move down the cursor
next line;
ScrollbarObjectSelection(mainobject, targetobject)
1. If mainobject matched with screenimage Then
2. Click on the mainobject;
3. Put cursor to the beginning of the editor;
4. While until found the targerobject
5. Move the cursor onelinedown;
6. If targetobject matched with the screenimage Then
7. Click the targetobject in the screen;
8. Break;
9. Else cannot found the targetobject;
10. End
Input:
shortcutkey is keyboard value to take focus of the object;
targetobject is an image object;
Output:
targetobject get selected;
Variables:
screenimage is the desktop screen capture image;
onelinedown is an keyboard value to move down the cursor
next line;
DropdownListObjectSelection(shortcutkey, targetobject)
1. If shortcutkey works to select the object Then
2. While until the targetobject
3. Move the cursor onelinedown;
4. If targetobject matched with screenimage Then
5. Click the targetobject in the screen;
6. Break;
7. Else cannot found the targetobject;
8. End
WSEAS TRANSACTIONS on COMPUTERS Rajibul Anam, Md. Syeful Islam, Mohammad Obaidul Haque
E-ISSN: 2224-2872 573 Volume 14, 2015
5. matched with screenimage. This method searches
the entire hidden objects from the list and checks for
the target object.
Figure 10. Screenshot of the Dropdown List with Target Object
3.3 Multi Tab List Object Selection
(MTLOS)
QA testing time needs to interact with GUI window
multi tab objects [13]. A multi tab window contains
more than one list box objects with scroll-bar
features. List box object contain many hidden
objects, automation system needs to interact with
the hidden objects to complete the TC. Figure 11
shows an example of the multi tab objects which
contains three tab objects. Figure 11 (1) shows the
first tab object (sample), figure 11 (2) shows the
second tab object (Web App) with list box, figure 11
(3) shows the another tab object with hidden (item
list) and figure 11 (4) scroll-bar enabled for
scrolling.
Figure 11. Multi Tab List Object Screenshot
Figure 12. Hidden Target Object
To search the target object (figure 12) from figure
11, firstly needs to select the (1) sample object,
secondly select the (2) web app object from the list
box and finally searches for the target object from
the (3) next list box.
The proposed MTLOS method is able to search
target object from multi tab list-box hidden object.
Figure 13 shows the MTLOS method, where line 1-
2 selects the mainobject (figure 11, object 1), line 3-
4 selects the next tab object and line 5-9 searches
(figure 11, object 2) for the firstkeyinfo image
object until it found. Line 10-11 selects next tab
object (figure 11, object 3), line 12-16 search for the
tergetobject (figure 12) until it found. Figure 14
shows the target object found using this method.
Figure 13. Multi Tab List Object Selection Method
Input:
mainobject is an image object;
firsttab is a keyboard tab value;
firstkeyinfo is an image object;
secondtab is a keyboard tab value;
targetobject is an image object;
Output:
targetobject get selected;
Variables:
screenimage is the desktop screen capture image;
onelinedown is an action variable to move down the cursor
next line;
Multitabobjectselection(mainobject, firsttab, firstkeyinfo, secondtab,
targetobject)
1. If mainobject matched with screenimage Then
2. Click on the mainobject;
3. If firsttab is true Then
4. Press tabkey;
5. While until firstkeyinfo
6. Move the cursor onelinedown;
7. If firstkeyinfo matched with screenimage Then
8. Click the firstkeyinfo in the screen;
9. Break;
10. If secondtab is true Then
11. Press tabkey;
12. While until targetobject
13. Move the cursor onelinedown;
14. If targetobject matched with screenimage Then
15. Click the targetobject in the screen;
16. Break;
17. Else cannot found the targetobject;
18. End
1
2
3
4
WSEAS TRANSACTIONS on COMPUTERS Rajibul Anam, Md. Syeful Islam, Mohammad Obaidul Haque
E-ISSN: 2224-2872 574 Volume 14, 2015
6. Figure 14. Screenshot of Multi Tab List Object with Target Object
3.4 Slider Position Selection (SPS)
Slider is a GUI window application object which
has no onscreen values (from where to drag and
drop) like scroll-bar. QA purpose slider needs to
access, change slider positions and checks the
expected result. But for the QA testing purpose
automation tool needs to access and change the
value of the slider [13] which takes time and
sometimes automation system failed to change the
slider positions as requires. Figure 15 shows the
slider where it is at the Error mode and testing
purpose needs to set as Debug mode (figure 16).
While TC execution, automation system cannot put
the slider as required position easily, sometimes it
starts scrolling on the left and sometimes on the
right side. As a result it takes additional time to
reach to the goal. The proposed SPS method can
overcome this problem and put the slider position
according to the code instruction easily.
Figure 15. Screenshots of Slider Object
Figure 16. Target Object
Figure 17. Slider Positon Selection Method
Figure 18. Slider Position with Minimum Value
Figure 17 illustrates the SPS methods, where line
1-2 take focus on the sliderobject, line 3 takes the
slider lowest sliding position (figure 18). Line 4-8
increases the slider positions according to the
keyinfo value until it reaches to the targetobject.
With this method the slider hidden objects value can
be search faster.
3.5 Framework Comparisons
The Sikuli [9] is a vision based automation
framework, it uses image to detect the object and
after that use the action events to interact with the
testing software. The TestComplete [16], TestPlant
[17] and Squish [18] are screen objects position
detection based framework, all the mouse and key
events are applied on specific point of window
screen object position. If the object position gets
change (screen resolution) or mismatched then
select or interact with different objects and generate
error. Table 1 shows the comparison criteria of
automation frameworks.
Screen objects position detection based
framework can access the hidden objects, if the
screen window objects position remains fixed on the
second run time. But TC execution time it is very
hard to confirm the window objects position.
Developer record the test, execution time if the
window object appears at different position, then
developer needs record the steps again which is
Input:
mainobject is an image object;
keyinfo is a keyboard key move value;
targetobject is an image object;
Output:
targetobject get selected;
Variables:
screenimage is the desktop screen capture image;
onelinedown is an action variable to move down the cursor
next line;
scrollslider(mainobject, keyinfo, targetobject)
1. If mainobject matched with screenimage Then
2. Click on the mainobject;
3. Scroll slider to lowest value;
4. While until targetobject
5. Press keyinfo;
6. If targetobject matched with screenimage Then
7. targetobject object found;
8. Break;
9. Else cannot found the targetobject;
10. End
WSEAS TRANSACTIONS on COMPUTERS Rajibul Anam, Md. Syeful Islam, Mohammad Obaidul Haque
E-ISSN: 2224-2872 575 Volume 14, 2015
7. redundant. Table 2 illustrates the frameworks, if the
screen window object position or the resolution gets
change, then cannot interact with the onscreen
window objects to search the hidden objects. But
same time the proposed methods are able to interact
with the changed screen (position or resolution)
window objects. The proposed methods uses key
and (image objects) click events to interact with the
window objects to search the target hidden objects.
Table 1. Comparison of Automation Framework Criteria
Sikuli TestComplete TestPlant Squish
Open Source Yes No No No
App code
required
Yes Yes Yes Yes
Platform
Independent
Yes No Yes Yes
Hidden
Object
Identification
No No Yes Yes
Image Based Yes No No No
Screen
Position
Dependent
No Yes Yes Yes
Test
Recording
No Yes Yes Yes
Table 2. Comparison of Framework With Screen Object Position
Criteria
Sikuli
TestComplete
TestPlant
Squish
Propose
Methods
Changed
Screen
Position
Hidden Object
Identification
No No No No Yes
Slider Interaction
No No No No Yes
3.6 Complexity Comparisons
The time complexity depends on flow of the
algorithm [19]. If the algorithm uses nested
operation then the complexity gets higher. Below
table 3 shows the comparison of the Proposed
Algorithm (PA) and existing Vision Based
Algorithm (VA), where O denotes as growth of a
function and n is number of steps. It is clear that VA
and PA time complexity are almost same. There is
no significant difference between PA (ESOS,
DLOS, MTLOS and SPS) and VA. But there are
differences on the execution time because of the
dependency (wait for the object, interaction
methods).
Table 3. Complexity of the Algorithms
Time Complexity of VA Time Complexity PA
O(n) [14] O(n) ESOS
O(n) [14] O(n) DLOS
O(n) [14] O(n) MTLOS
O(n) [14] O(n) SPS
4 Usability Study
GUI Automation system executes action according
to the instructions (code). Basically two types of
event occur in the GUI automation, one is key event
and another is mouse event. Automation system
runs the code; execute commands which interact
with GUI testing system. To generate mouse or key
events, screen objects position detection based
systems record the user actions and automatic
generates code for automation system. And image
based systems do not have this facility, developer
needs to write code.
4.1 Case Study Design
This section describes the experimental results
obtained by the VA and PA with four predefined
Test Cases. The empirical study presented in this
paper is conducted in real time context. This paper
proposed four methods which uses vision based
methods and shortcut key to access the object,
which is a combination of image and key events.
Moreover these methods will enhance the
automation system to get the target object faster. To
support this claim carried out a case study to test the
hypothesis below.
H1: Using shortcut key (key event) and vision
based screen object detection (click) to search the
target object reduces automation systems interaction
events than using only vision based object detection
(click).
H2: Combination of vision based screen object
detection and shortcut key can trace the hidden
object faster than using only vision based screen
object detection.
This study was designed to test the VA and PA
performances. To execute the automation used Intel
Core i7 (3.4GHz) processor, 4GB ram, Windows 7
OS and display resolution (1920×1080). QA testing
purpose selects the Tizen IDE application [20].
Table 4 shows details of TCs, which is created to
test the Tizen IDE for QA purpose. Each TC was
executed thirty times randomly. TC-1 executes the
ESOS, TC-2 executes the DLOS, TC-3 executes the
MTLOS and TC-4 executes the SPS algorithm.
There are two dependent variables in this study:
number of events (interaction) and task completion
WSEAS TRANSACTIONS on COMPUTERS Rajibul Anam, Md. Syeful Islam, Mohammad Obaidul Haque
E-ISSN: 2224-2872 576 Volume 14, 2015
8. time. This information cannot observe directly and
therefore, can only be measured after completion of
all the data.
Table 4. Test Cases
Test
Case
Steps Search the
Target
Object
Proposed
Method
Used
TC-1
Click on style.css file from
the file browser
footer p {
font-size:
12px;}
ESOS
TC-2
Click Top-up menu Window-
>Preferences; New window
Double Click Web->Click
CSS Files->Encoding List
Korean, ISO
2022
DLOS
TC-3
Click Top-up menu File-
>new->Tizen Web Project;
New window Click Sample-
>Mobile->Web App-
>TizenWinset
TizenWinset MTLOS
TC-4
Click Top-up menu Window-
>Preferences; New window
click Tizen SDK->Click
Logging->Slider
Select Slider
to DEBUG
SPS
4.2 Results
Figure 19 shows the number of mouse and key
events has been used to execute the TCs. SA used
52 clicks; ESOS used 2 clicks and 2 key events to
execute TC-1. SA used 30 clicks; DLOS used 1
click and 8 key events to execute TC-2. To Executes
TC-3, SA used 18 clicks and MTLOS used 2 clicks
and 8 key events. SA used 13 clicks; SPS used 1
click and 7 key events to execute TC-4. The
interaction events shows that the proposed
algorithms used less interaction events compared to
only vision based systems. Figure 20 shows the total
number of events (click and key) to execute the PA
and VA. PA used six click events and 25 key events,
same time VA used 113 click events to execute all
the TCs. Table 5 illustrates the Mann-Whitney U
test analysis results, where Z = 2.411 and p =
0.0163, which is statistically significant PA used
less interaction events than VA. From this result can
conclude that combination of mouse and key events
required less interaction to execute the TCs which
supports the H1 hypothesis.
Figure 21 shows TC-1 completion time of VA
and ESOS, VA has two outlier values, VA took
30.74 seconds and ESOS took 1.91 seconds to
complete the tasks, where N = 60, x̅ of VA is 45.50,
ESOS is 15.50, Z = 6.663 and p = 0.000002, which
is statistically significant and the result shows that
ESOS takes less time that VA.
Figure 19. Number of Events for Each TC
Figure 20. Total Number of Events
Table 5. Mann-Whitney U test analysis of number of events to finish
tasks
Method Events N Mean
VA
Click 4 6.5
Key 4 2.5
PA
Click 4 2.5
Key 4 6.5
Test Statics
Z 2.411
p value (2 tailed) 0.0163
Figure 22 illustrates the TC-2 completion time,
VA has three outlier values, VA took 7.29 seconds
and DLOS took 2.96 seconds, where N=60, x̅ of SA
is 45.50 and ESOS is 15.50, Z = 6.663 and p =
0.000002, which is statistically significant and the
result shows that DLOS takes less time than VA.
Figure 23 illustrates the TC-3 completion time,
VA has five outlier values and MTLOS has one
outlier value. VA took 19.14 seconds and MTLOS
took 13.29 seconds, where N = 60, x̅ of SA is 45.50,
ESOS is 15.50, Z = 6.654 and p = 0.0000002, which
is statistically significant and the data shows that
MTLOS takes less time than VA.
WSEAS TRANSACTIONS on COMPUTERS Rajibul Anam, Md. Syeful Islam, Mohammad Obaidul Haque
E-ISSN: 2224-2872 577 Volume 14, 2015
9. Figure 21. TC-1 Completion Time
Figure 22. TC-2 Completion Time
Figure 23. TC-3 Completion Time
Figure 24 shows the TC-4 completion time, VA
has six and SPS has one outlier value. VA took
15.94 seconds and SPS took 9.85 seconds, where N
= 60, x̅ of SA is 43.50, ESOS is 17.50, Z = 5.767 and
p = 0.000008, which is statistically significant and
the results shows that SPS takes less time than VA.
Figure 25 shows the completion time of four TCs,
VA took 18.27 seconds and PA took 7 seconds.
Table 6 shows the average TCs completion time and
table 7 shows the Mann-Whitney U test analysis
results, where N = 240, x̅ of SA is 164.50, PA is
76.50, Z = 9.819 and p = 0.0000001, which is
statistically significant and the results shows that PA
takes less time than VA. From this analysis can
conclude that combination of mouse and key events,
automation systems can trace the hidden objects
faster which supports the H2 hypothesis.
Figure 24. Total TC Completion Time
TABLE 6. Average execution time
TABLE 7. MANN-WHITNEY U TEST ANALYSYS OF COMPLETION TIME TO
FINSH TASKS
Methods N
VA 120
PA 120
Total 240
Test Statistics
Z 9.819
p value (2 tailed) 0.0000001
VA Proposed Methods
Test Case Execution Time (sec) Execution Time (sec)
TC-1 30.74 1.91
TC-2 7.29 2.96
TC-3 19.14 13.29
TC-4 15.94 9.85
TOTAL (AVG) 18.27 7
WSEAS TRANSACTIONS on COMPUTERS Rajibul Anam, Md. Syeful Islam, Mohammad Obaidul Haque
E-ISSN: 2224-2872 578 Volume 14, 2015
10. 5 Conclusion
GUI automation tools enhance Test Case execution
and reduce human efforts. Most of the Black Box
Test Cases can be executed with this system;
limitation of the technology vision based automation
system in some cases take time and failed to
find/search hidden objects and dynamic appearance
of the objects. As a result all type of TCs cannot be
executed using VA system. The proposed
techniques have the unique features to identify
hidden objects even the window objects screen
position gets change. The proposed methods are
implemented in real time automation application,
which can discover the hidden objects smoothly and
enhance the re-usability. The usability study results
show that combination of key and mouse events in
the VA system can find the hidden target object
faster. These methods enhance the VA systems to
find the target object faster which will help the QA
testers to get the result quicker. Currently there is
one limitation with these methods. It takes time to
check the list box objects one by one to search the
hidden target object. Future plan is to overcome
these two limitations and works for complete
introducing full testing framework for hidden object
detection.
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WSEAS TRANSACTIONS on COMPUTERS Rajibul Anam, Md. Syeful Islam, Mohammad Obaidul Haque
E-ISSN: 2224-2872 579 Volume 14, 2015