The empirical study: encouraging students’ interest in software development using test-driven development

The supply is not matching the demand on the market for software developers. While the enrolment in undergraduate computer science courses is increasing, few students are interested in and committed to becoming software developers. It could be that students are overwhelmed by the software development methodology that they are taught. We are consequently looking for a constructivist approach to software engineering able to effectively engage learners. We empirically evaluated whether test-driven development (TDD) is able to improve the quality of both learning and of software development in the classroom. Although numerous studies have outlined the benefits and effects of TDD in the classroom, none of those studies have focused on measuring students\u27 interest in and attitudes toward using TDD in the classroom. We present a study evaluating the impact of TDD on the engagement and focus of learners of software development in the classroom. The results illustrate that the use of TDD in the classroom encourages learners to engage and focus

Exploring the Applicability of Test Driven Development in the Big Data Domain

Big data analytics and the according applications have gained huge importance in daily life. This results on the one hand from their versatility and on the other hand from their capability to greatly improve an organization’s performance when utilized appropriately. However, despite their prevalence and the corresponding attention through practitioners as well as the scientific world, the actual implementation still remains a challenging task. Therefore, without the adequate testing, the reliability of the systems and thus the obtained outputs is uncertain. This might reduce their utilization, or even worse, lead to a diminished decision-making quality. The publication at hand explores the adoption of test driven development as a potential approach for addressing this issue. Subsequently, using the design science research methodology, a microservice-based test driven development concept for big data (MBTDD-BD) is proposed. In the end, possible avenues for future research endeavours are indicated

Analysis of the impact of test based development techniques (TDD, BDD, AND ATDD) to the software life cycle

Within the world of software development, there is a permanent need to create quality products that are capable of facing challenges in environments of changing requirements. The industry in this area is aware of this, and so, it makes use of software development methodologies such as: traditional or agile. Agile development represents a distancing from traditional approaches, allowing the creation of applications incrementally and iteratively and, thus, adjusting to the changing requirements of customers. For this reason, companies have recently adopted the use of its practices and techniques, e.g.: Test-Driven Development (TDD), Acceptance Test-Driven Development (ATDD), Behavior-Driven Development (BDD), among others. These techniques promise mainly to improve the quality of the software and the productivity of the programmers; therefore, many experiments, especially using TDD, have been made within the academy and the industry; which shows variant results (some with positive effects and others not so much). In addition, expert programmers have put these techniques into practice in software creation, getting satisfactory results due to the advantages offered by its use. The main objective of this work is to verify the impact produced by the techniques of software development based on tests (TDD, ATDD and BDD), analyzing its primordial promises. A literature research has been conducted in order to understand the strengths and weaknesses of each one of these techniques. With the intention of observing the effectiveness of TDD and BDD, an experiment was planned in an academic scenario, considering education and appropriate training to implement enough knowledge about them. With the results obtained, it was possible to understand that the techniques studied ensured the quality of the product developed and improved the productivity of the programmers; validating its effects within software development

An experimental evaluation of test driven development vs. test-last development with industry professionals

Test-Driven Development (TDD) is a software development approach where test cases are written before actual development of the code in iterative cycles. Context: TDD has gained attention of many software practitioners during the last decade since it has contributed several benefits to the software development process. However, empirical evidence of its dominance in terms of internal code quality, external code quality and productivity is fairly limited. Objective: The aim behind conducting this controlled experiment with professional Java developers is to see the impact of Test-Driven Development (TDD) on internal code quality, external code quality and productivity compared to Test-Last Development (TLD). Results: Experiment results indicate that values found related to number of acceptance test cases passed, McCabe's Cyclomatic complexity, branch coverage, number of lines of code per person hours, number of user stories implemented per person hours are statistically insignificant. However, static code analysis results were found statistically significant in the favor of TDD. Moreover, the results of the survey revealed that the majority of developers in the experiment prefer TLD over TDD, given the lesser required level of learning curve as well as the minimum effort needed to understand and employ TLD compared to TDD