By using a data-driven method, regression analysis, our empirical results show that TDD behaviours improve the engagement level, and engaging in development activities likely impact maintainability in a positive way. Specifically, the authors find that the positive impact of focussing on testing is more pronounced relative to coding activities. Our study adds to current software engineering literature that not only personal expertise but the engagement level in the development process are associated with software quality and calls for the emphasis on developer's engagement. Abstract The soft ..read more

This work is aimed at evoking greater enthusiasm for DevSecOps in academia and industry. As the concept emerging from the software industry, the research on DevSecOps can offer the opportunity for reciprocal communication and collaboration between academics and industry. Abstract By adopting agile and lean practices, DevOps aims to achieve rapid value delivery by speeding up development and deployment cycles, which however lead to more security concerns that cannot be fully addressed by an isolated security role only in the final stage of development. DevSecOps promotes security as a shared ..read more

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The authors present an automatic software defect repair model based on deep neural network. Experiment results show that neural networks can learn patterns to fix software bugs well. Through the token replacement in the source code, the influence of different code styles can be well shielded, and the real-time repair of software source code defects can be generated in real-time with the pretraining model in actual production. Abstract Currently, software projects require a significant amount of time, effort and other resources to be invested in software testing to reduce the number of code d ..read more

This paper presents a hybrid heuristic memetic algorithm named QSSMA for the high-strength CAG problem. In QSSMA, quantum particle swarm optimisation (QPSO) and simulated annealing (SA) algorithms are used as global and local search respectively to equilibrate the exploration and exploitation capabilities to improve the efficiency of constructing high-covering strength test suites. Abstract Covering array generation (CAG) is the key research problem in combinatorial testing and is an NP-complete problem. With the increasing complexity of software under test and the need for higher interactio ..read more

In this paper, we discuss environmental impact considerations in the early stages of the implementation and opportunities to improve design choices of CPSs with a people-planet-system perspective. We discuss aspects related to system configuration, data management and the overall goal and functionalities supported by the CPS. Through a specific smart home case we illustrate the potential of considering life-cycle assessment of both the devices and data management. Abstract Cyber Physical Systems (CPS) are becoming more ubiquitous, complex and powerful as well as more and more present in our ..read more

The malware identification scheme includes two phases. The learning phase trains a symmetric cross entropy (SCE)-optimised temporal convolutional network (STCN) model on the word embedding from the pre-trained word matrix. The identification phase predicts the malware category on the trained STCN. Abstract Recent developments in the field of Internet of things (IoT) have aroused growing attention to the security of smart devices. Specifically, there is an increasing number of malicious software (Malware) on IoT systems. Nowadays, researchers have made many efforts concerning supervised machi ..read more

The authors wrote the proposed framework for requirements engineering ethics. It deals with background information, proposed framework, motivation to do the research, problem statements, contributions of the work, some literature reviews, including related works, and validation results, discussions, and concluding remarks. Abstract Requirements engineering is a fundamental process in software development phases. At the same time, it is a difficult phase and exposed many ethical violations. The main purpose is proposing an ethical framework for software requirements engineering that addresses ..read more

A customised decision method for evaluation, comparison, and adoption of the Open Source Software (OSS) frameworks is proposed in this study. The important attributes of a framework such as reliability, maintainability, and documentation concerning project requirements and priorities can be obtained by customising the ISO 9126 quality model in terms of the required information during the OSS adoption process in the biomedical domain. After obtaining the necessary information for the following steps, three-way decision and DHP are integrated to get evaluation information and then make a decisi ..read more

Effort-aware cross-project defect prediction (EACPDP), which uses cross-project software modules to build a model to rank within-project software modules based on the defect density, has been suggested to allocate limited testing resource efficiently. To explore the effective defect density calculation strategies and methods on EACPDP, the authors compare four data filtering methods and five transfer learning methods with EASC using four commonly used defect density calculation strategies. Abstract Effort-aware cross-project defect prediction (EACPDP), which uses cross-project software modul ..read more