A5084932783- Software Engineering Techniques and Practices
- Software Engineering Research
- Advanced Software Engineering Methodologies
- Ethics and Social Impacts of AI
- Human-Automation Interaction and Safety
- Persona Design and Applications
- Big Data and Business Intelligence
- Mobile Health and mHealth Applications
- Technology Assessment and Management
- Data Visualization and Analytics
- Human Mobility and Location-Based Analysis
- Context-Aware Activity Recognition Systems
- Security in Wireless Sensor Networks
- Technology Use by Older Adults
- Big Data Technologies and Applications
- Artificial Intelligence in Healthcare and Education
- Software System Performance and Reliability
- Mobile Ad Hoc Networks
- Business Process Modeling and Analysis
- Innovative Human-Technology Interaction
- Opportunistic and Delay-Tolerant Networks
Deakin University
2021-2024
Higher Colleges of Technology
2017
Engineering Artificial Intelligence (AI) software is a relatively new area with many challenges, unknowns, and limited proven best practices. Big companies such as Google, Microsoft, Apple have provided suite of recent guidelines to assist engineering teams in building human-centered AI systems. The practices currently adopted by practitioners for developing systems, especially during Requirements (RE), are little studied reported date. This paper presents the results survey conducted...
In traditional approaches to building software systems (that do not include an Artificial Intelligent (AI) or Machine Learning (ML) component), Requirements Engineering (RE) activities are well-established and researched. However, with one more AI components may depend heavily on data limited no insight into the system's workings. Therefore, engineering such poses significant new challenges RE. Our search showed that literature has focused using manage RE activities, research for (RE4AI)....
The surge in data availability and processing power has made it possible for Artificial Intelligence (AI) to advance at a faster rate. However, the different nature of AI systems posed significant new challenges Requirements Engineering (RE). Literature shown that do not use current RE methods. It was also found scientists are taking role requirements engineers resulting software does focus on users needs. Building with human-centric approach proven produce more ethical, transparent,...
Artificial Intelligence (AI) systems have gained significant traction in the recent past, creating new challenges requirements engineering (RE) when building AI software systems.RE for practices not been studied much and scarce empirical studies.Additionally, many solutions tend to focus on technical aspects ignore human-centered values.In this paper, we report a case study eliciting modeling using our framework supporting tool human-centred RE systems.Our is mobile health application...
Packet integrity or modification attacks commonly happen in Opportunistic Networks (OppNets). In this paper, we propose a technique that uses Merkle trees to protect the of packets transferred network. When adopting an OppNet, nodes will be able verify data from node is received unchanged and its original state. Using solid trust reputation system, are inform informed legitimate malicious The has been implemented using OppNet protocol, results reflect effectiveness technique. As modified...
Artificial Intelligence (AI) systems have gained significant traction in the recent past, creating new challenges requirements engineering (RE) when building AI software systems. RE for practices not been studied much and scarce empirical studies. Additionally, many solutions tend to focus on technical aspects ignore human-centered values. In this paper, we report a case study eliciting modeling using our framework supporting tool human-centred Our is mobile health application encouraging...
[Context] In traditional software systems, Requirements Engineering (RE) activities are well-established and researched. However, building Artificial Intelligence (AI) based with limited or no insight into the system's inner workings poses significant new challenges to RE. Existing literature has focused on using AI manage RE activities, research for (RE4AI). [Objective] This paper investigates current approaches specifying requirements identifies available frameworks, methodologies, tools,...
[Context] Engineering Artificial Intelligence (AI) software is a relatively new area with many challenges, unknowns, and limited proven best practices. Big companies such as Google, Microsoft, Apple have provided suite of recent guidelines to assist engineering teams in building human-centered AI systems. [Objective] The practices currently adopted by practitioners for developing systems, especially during Requirements (RE), are little studied reported date. [Method] This paper presents the...
[Context] Artificial intelligence (AI) components used in building software solutions have substantially increased recent years. However, many of these focus on technical aspects and ignore critical human-centered aspects. [Objective] Including during requirements engineering (RE) when AI-based can help achieve more responsible, unbiased, inclusive solutions. [Method] In this paper, we present a new framework developed based AI guidelines user survey to aid collecting for software. We...
The widespread of data visualisation tools on smartphones has provided end users an easy way to track their health data, leading designers put more effort into delivering suitable visualisations. Both academia and industry have developed several frameworks guide the creation informative well-designed charts, such as design framework Google Material Design. Despite typical focus chart types in these existing frameworks, our study highlights need incorporate additional components when...
Mobile health (mHealth) applications have seen widespread adoption, with data visualisation a prominent feature. The utilisation of varies across mHealth categories like fitness tracking, mental health, and diet tracking. A key challenge in building apps is determining what to capture, the analysis tasks, how present enduser. In this paper, we address these challenges by analysing top 78 from Android iOS app stores. revealed distinct syntax representation different apps, driven their unique...