A Survey on String Constraint Solving

String constraint solving refers to solving combinatorial problems involving constraints over string variables. String solving approaches have become popular over the past few years given the massive use of strings in different application domains like formal analysis, automated testing, database query processing, and cybersecurity. This article reports a comprehensive survey on string constraint solving by exploring the large number of approaches that have been proposed over the past few decades to solve string constraints.

Machine Learning Model to Predict Automated Testing Adoption

Software testing is an activity conducted to test the software under test. It has two approaches: manual testing and automation testing. Automation testing is an approach of software testing in which programming scripts are written to automate the process of testing. There are some software development projects under development phase for which automated testing is suitable to use and other requires manual testing. It depends on factors like project requirements nature, team which is working on the project, technology on which software is developing and intended audience that may influence the suitability of automated testing for certain software development project. In this paper we have developed machine learning model for prediction of automated testing adoption. We have used chi-square test for finding factors’ correlation and PART classifier for model development. Accuracy of our proposed model is 93.1624%.

Generation of Realistic Navigation Paths for Web Site Testing Using RNN and GAN

For applications that have not yet been launched, a reliable way for creating online navigation logs may be crucial, enabling developers to test their products as though they were being used by real users. This might lead to faster and lower-cost program testing and enhancement, especially in terms of usability and interaction. In this work we propose a method for using deep learning approaches such as recurrent neural networks (RNN) and generative adversarial neural networks (GANN) to produce high-quality weblogs. Eventually, we can utilize the created data for automated testing and improvement of Web sites prior to their release with the aid of model-driven development tools such as IFML Editor.

Automated Testing of Data Survivability and Restorability

Regular data backups are fundamental for protection against cyber-attacks and damage to infrastructure. To ensure a successful restoration, backed up data must be tested regularly for restorability to the company’s current environment. Cloud providers generally test their backedup data, but a testing framework is also required for locally stored files and databases. The paper proposes an automated test framework that validates the continued usability of backed up data for target restoration environments. The framework tests backups of Excel files, MySQL and Postgres databases, PDF documents and flat files.

Manual to Automated Testing

<p>Purpose - The purpose of this case study is to understand how two organizations view and utilise automated testing and how it relates to the literature. It outlines and discusses the key factors to be taken into consideration when setting up an automated testing, in addition to the risks involved. Design/methodology/approach – Focus group discussions were executed to collect the data and the findings were compared with other literatures. Findings – For cognition of automated testing, it is not only limited to its definition and benefits that may be brought into the organization, but also need to focus more on scope of application and preconditions. Aside from the key considerations such as people resistance, working process and training, some other concerns were also found from managerial perspective when adopting automated testing: (1) Cost-benefit – Return of Investment (ROI) is an effective method to analyse the investment, especially for the factors affecting the cost of investment; (2) Management support. It includes balancing between business and technology, management involvement and coordinating the relations between the departments; (3) Tool selection: Choosing the right automation tool is a very complicated process with a lot internal factors involved. Practical implication – For an organization that doesn’t have automated testing implemented yet, a pilot project can be the first option to understand its practicality and applicability based on individual organizational context. Originality/Value – This case study can be used for an organization that interests in better introducing and implementing automated testing within the organization. Key Words – Automated testing, Cost-benefit, Management support, Tool selection, practicality, applicability and ROI. Paper Type – Case Study Research.</p>

Manual to Automated Testing

<p>Purpose - The purpose of this case study is to understand how two organizations view and utilise automated testing and how it relates to the literature. It outlines and discusses the key factors to be taken into consideration when setting up an automated testing, in addition to the risks involved. Design/methodology/approach – Focus group discussions were executed to collect the data and the findings were compared with other literatures. Findings – For cognition of automated testing, it is not only limited to its definition and benefits that may be brought into the organization, but also need to focus more on scope of application and preconditions. Aside from the key considerations such as people resistance, working process and training, some other concerns were also found from managerial perspective when adopting automated testing: (1) Cost-benefit – Return of Investment (ROI) is an effective method to analyse the investment, especially for the factors affecting the cost of investment; (2) Management support. It includes balancing between business and technology, management involvement and coordinating the relations between the departments; (3) Tool selection: Choosing the right automation tool is a very complicated process with a lot internal factors involved. Practical implication – For an organization that doesn’t have automated testing implemented yet, a pilot project can be the first option to understand its practicality and applicability based on individual organizational context. Originality/Value – This case study can be used for an organization that interests in better introducing and implementing automated testing within the organization. Key Words – Automated testing, Cost-benefit, Management support, Tool selection, practicality, applicability and ROI. Paper Type – Case Study Research.</p>