A framework for modelling feature variability and dependencies in software product lines. In most Australian software development organisations software products are developed individually rather than product line based. This project will promote the awareness of product line based software development and provide a frontier technology, the effective feature modelling approaches, to help Australian software industry transform from the single product based development to the product line based de ....A framework for modelling feature variability and dependencies in software product lines. In most Australian software development organisations software products are developed individually rather than product line based. This project will promote the awareness of product line based software development and provide a frontier technology, the effective feature modelling approaches, to help Australian software industry transform from the single product based development to the product line based development to achieve significant improvement on the productivity and the quality of the software development. This improvement will dramatically reduce the cost of software products and alleviate the pressure of skill shortage that currently threatens Australian economy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170101081
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis t ....Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis to efficiently and precisely analyse large-scale programs according to clients’ needs, thereby allowing compilers to generate safe, reliable and secure code. This project is expected to advance value-flow analysis for industrial-sized software, improve software reliability and security, and benefit Australian software systems and industries.Read moreRead less
Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident ....Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident triage. Expected outcomes of the project include a set of novel methods and tools that can facilitate incident diagnosis and resolution. This project will provide significant benefits, such as improving the availability of software-intensive systems and reducing the economic loss caused by the incidents. Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less
Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project ....Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project are a family of new context-aware techniques to verify and validate complex behaviours in autonomous driving. This should provide significant benefits, such as safe autonomous driving systems and the improved journey experience and security for road users.Read moreRead less
Managing Knowledge in Web-Driven Organisational Evolution. Organisations are increasingly concerned with the effective utilisation of Web technologies, and especially the ways in which these technologies can be used to improve their business. Effective management of knowledge about the interplay between the organisation and technical drivers of this technology adoption will enable a much-enhanced process for leveraging emerging information and communication technologies. This project aims to li ....Managing Knowledge in Web-Driven Organisational Evolution. Organisations are increasingly concerned with the effective utilisation of Web technologies, and especially the ways in which these technologies can be used to improve their business. Effective management of knowledge about the interplay between the organisation and technical drivers of this technology adoption will enable a much-enhanced process for leveraging emerging information and communication technologies. This project aims to link related research at UTS and Southampton University to understand how tools might support this knowledge management. Outcomes will include the creation of specific tools (and techniques for using them) within the context of managing organisational uptake of new technologies.Read moreRead less
Formalising and automating the elicitation and reconciliation of requirements from multiple stakeholders. It is well recognised that requirements specifications are often error-prone and that it is much cheaper to detect and fix these errors early in the software development life cycle than later. A major problem with requirements determination is that each and every stakeholder has his/her own representation of the enterprise reality. This project seeks to take these views and use set-theore ....Formalising and automating the elicitation and reconciliation of requirements from multiple stakeholders. It is well recognised that requirements specifications are often error-prone and that it is much cheaper to detect and fix these errors early in the software development life cycle than later. A major problem with requirements determination is that each and every stakeholder has his/her own representation of the enterprise reality. This project seeks to take these views and use set-theoretical techniques from Formal Concept Analysis (FCA) to automatically generate and compare the underlying conceptual models. A process model based on FCA has been proposed which we will extend and empirically evaluate in this project. The result will be a more rigorous and yet pragmatic approach to requirements engineering which offers the greatest economic leverage.Read moreRead less
Metamodel-based Methodology for Developing Agent-Oriented Systems. In the context of building high quality software, agent technology offers substantial promise. However, its widespread deployment by industry is hampered by the lack of commercially acceptable development methodologies. Here, we expand a metamodel-based process framework (the OPEN Process Framework) to support agent-oriented (AO) software development that will eventually both form a de facto standard for AO methodologies and be ....Metamodel-based Methodology for Developing Agent-Oriented Systems. In the context of building high quality software, agent technology offers substantial promise. However, its widespread deployment by industry is hampered by the lack of commercially acceptable development methodologies. Here, we expand a metamodel-based process framework (the OPEN Process Framework) to support agent-oriented (AO) software development that will eventually both form a de facto standard for AO methodologies and be acceptable for commercial software application development. To create this extension, significant research in AO software engineering is required. Our basis will be the OPF plus elements from existing AO methodologies, notably Tropos and Gaia, whose authors will collaborate actively.Read moreRead less
Eat and Dream: effective automatic testing and debugging for real-life embedded wireless communications software. Embedded software is a key enabling technology for the majority of Australian manufacturing industries, including strategically important sectors such as the automotive industry. Embedded wireless communication technologies are playing an increasingly significant role in Australia with a wide range of critical applications ranging from natural disaster early warning to personal healt ....Eat and Dream: effective automatic testing and debugging for real-life embedded wireless communications software. Embedded software is a key enabling technology for the majority of Australian manufacturing industries, including strategically important sectors such as the automotive industry. Embedded wireless communication technologies are playing an increasingly significant role in Australia with a wide range of critical applications ranging from natural disaster early warning to personal health monitoring. Embedded wireless communications software, however, is difficult to test and debug owing to the complexity of the operational environment and complications arising from the interplay between software and hardware. This project will develop an effective and automatic technology to alleviate these difficulties and achieve higher quality software.Read moreRead less
Creating and Assessing Processes for Object-Oriented and Component-Based Software Development. This project is based on the principles of both theoretical and empirical software engineering. It focuses on the processes, technology and quality of software systems produced using component-based development (CBD) which is achieving substantial software re-use. Among the main objectives of this project are the creation of a unified CBD process metamodel and associated family of reference processes t ....Creating and Assessing Processes for Object-Oriented and Component-Based Software Development. This project is based on the principles of both theoretical and empirical software engineering. It focuses on the processes, technology and quality of software systems produced using component-based development (CBD) which is achieving substantial software re-use. Among the main objectives of this project are the creation of a unified CBD process metamodel and associated family of reference processes together with a closely linked CBD assessment methodology.Read moreRead less