Agile methodologies have gained recognition as efficient development processes through their quick delivery of software, even under time constraints. However, like other agile methods such as Scrum, Extreme Programming (XP) and The Dynamic Systems Development Method (DSDM), Feature Driven Development (FDD) has been criticized due to the unavailability of security elements in its twelve practices. In order to examine this matter more closely, we conducted a systematic literature review (SLR) and studied literature for the years 2001-2012. Our findings highlight that, in its current form, the FDD model partially supports the development of secure software. However, there is little research on this topic, as detailed information about the usage of secure software is rarely published. Thus, we have been able to conclude that the existing five phases of FDD have not been enough to develop secure software until recently. For this reason, security-based phase and practices in FDD need to be proposed.
Currently, it is crucial to develop a complex software on time. Agile software development methodologies provide methods to develop a system in term of time and cost-saving but it has been criticized for software quality management. In this paper, a case study is used to find out the need of NFR change impact traceability approach in most of Agile software methodology. This case study was conducted in an undergraduate course that trained the students on how to develop software using Agile process model. This case study has been conducted for 4 months in an undergraduate-level course, Application Development. The samples of this case study are among Year 3 undergraduate students. The case study shows the lack of traceability techniques in the existing Agile process model (SFDD-Secured Feature Driven Development) that result to non-awareness of NFR change impact during development. Based on the case study mentioned the main objective of the case study conducted in survey is to empirically test the theoretical constructs and the hypothesized relationships of the research issues that concern on the lack of change impact management towards NFR in Agile Software Methodology. TANC (Traceability for Agile Non-Functional Requirement Change Impact) model offered techniques in tracing change impact during the agile development process. Therefore, the result of the case study, a traceability process model needs to design in order to tackle the NFR change impact issues in Agile software development.
Regression testing (RT) is an essential but an expensive activity in software development. RT confirms that new faults/errors will not have occurred in the modified program. RT efficiency can be improved through an effective technique of selected only modified test cases that appropriate to the modifications within the given time frame. Earlier, several test case selection approaches have been introduced, but either these techniques were not sufficient according to the requirements of software tester experts or they are ineffective and cannot be used for available test suite specifications and architecture. To address these limitations, we recommend an improved and efficient test case selection (TCS) algorithm for RT. Our proposed technique decreases the execution time and redundancy of the duplicate test cases (TC) and detects only modified changes that appropriate to the modifications in test cases. To reduce execution time for TCS, evaluation results of our proposed approach are established on fault detection, redundancy and already executed test case. Results indicate that proposed technique decreases the inclusive testing time of TCS to execute modified test cases by, on average related to a method of Hybrid Whale Algorithm (HWOA), which is a progressive TCS approach in regression testing for a single product.
The golden age and sensitive period in a child occurred at the age of zero to six years and it is the ages that children can quickly absorb knowledge around them. In this age, however, children are susceptible toward the arising deviation symptoms in their growth and development. Therefore, the deviation symptom in children should be detected as early as possible in order that it will not be permanent and the proper intervention and stimulation can be immediately administered. This study aimed to construct an information system based on the web in order to conduct either screening or detection for the children’s growth and development using Pre-screening Development Questionaire method. The method employed in this study is the one developing waterfall software. It consists of four steps, they are analysis, design, and test to the system. It is then the testing method using Black Box Testing and System Usability Scale (SUS). Based on the usability test on 30 child-caregiver respondents by employing SUS method, it was obtained score 78.33, meaning that the system can be accepted and included in the category of good-excellent.
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