Last week, we had the pleasure of welcoming James Zheng from Macquarie University to our lab. James delivered an insightful talk on Testing Learning-Enabled Cyber-Physical Systems: Current Approaches and Future Directions, sparking valuable discussions among our lab members. Thank you, James, for taking the time to share your expertise and connect with us! Monash Information Technology
HumaniSE Lab
Research Services
Clayton, Victoria 1,293 followers
Through our world-leading research, we put humans at the heart of software engineering
About us
Led by Laureate Professor John Grundy, the HumaniSE Lab is a distinguished research program that aims to better understand and incorporate the unique and varied aspects of peoples’ needs and abilities into software engineering. There are major issues with misaligned software applications in terms of accessibility, usability, emotions, personality, age, gender, human values and culture. The new human-centric approaches to engineering software that our Lab is researching and trialling with industry partners will lead to more inclusive software solutions for diverse populations.
- Website
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https://www.monash.edu/it/humanise-lab
External link for HumaniSE Lab
- Industry
- Research Services
- Company size
- 2-10 employees
- Headquarters
- Clayton, Victoria
- Type
- Nonprofit
- Founded
- 2019
Locations
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Primary
20 Exhibition Walk
213
Clayton, Victoria 3168, AU
Employees at HumaniSE Lab
Updates
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Defect reporting is a fundamental part of software development, and improving it can significantly enhance product quality and reduce time spent on troubleshooting. Current approaches are limited in terms of reporting human-centred issues with software and supporting diverse users in better reporting their challenges using software. Our project looked into the challenges of defect reporting, proposes a more human-centric defect reporting tool and provides insights for both developers and managers. ➡️ Human-centred defect reporting: More human-centred approaches to reporting defects and capturing defects ➡️ Enhanced Documentation: Clear, concise defect descriptions reduce misunderstandings and save time. ➡️ Consistent Reporting Practices: Establishing a consistent framework for reporting helps streamline the defect management process. ➡️ Collaboration and Communication: Encouraging open communication between developers, testers, and stakeholders makes defect resolution smoother and faster. Read the project summary: https://lnkd.in/gfryWwYq Monash Information Technology, John Grundy, Anuradha Madugalla, FIT4003 students: Kenny Huynh, Juvent Benarivo, Chew Da Xuan, Giridhar Gopal Sharma, Jeffrey Kang
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HumaniSE Lab reposted this
🔊 Calling all Software Engineering Undergraduates! Curious about how your personality and cognitive abilities influence your performance in coding interviews? 🧠💻 Join our research to discover how these factors play a role in software development success! 🔍 📋 Participate in our survey (it takes only 20-30 minutes!) and share your experiences. Your input is vital to understanding how undergraduate students approach coding tasks and succeed in interviews. To join, simply: 👉 Click on the link: https://lnkd.in/gmsU2RKS 👉 Or scan the QR code below with your favourite scanner. Your voice matters—help us uncover valuable insights into the connection between personality, cognition, and coding success! 💡 Sebastian Baltes John Grundy HumaniSE Lab #CognitiveAbilities #Personality #CodingInterview #TechInsights #SoftwareEngineering #UndergraduateSurvey
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HumaniSE Lab reposted this
Not one, not two - but FIVE of our researchers have been named the top of their fields nationally in The Australian's 2025 Research Magazine! A huge congratulations to: 🏆 Dragan Gasevic - Educational Technology 🏆 Gholamreza (Reza) Haffari - Computational Linguistics 🏆 Rashina Hoda - Software Systems 🏆 Geoff Webb - Data Mining & Analysis 🏆 Tim Dwyer - Computer Graphics Please join us in celebrating this mammoth achievement 🙌 Read more: https://lnkd.in/gdWtwTxD Monash University HumaniSE Lab CoLAM - Centre for Learning Analytics at Monash
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HumaniSE Lab reposted this
Congratulations to the Monash University researchers who have been named the top of their field in The Australian’s Research 2025 rankings. Two researchers were named global leaders in their fields: Nathan Eva in Human Resources and Organisation and Ben Willem Mol in Reproductive Health. A further 32 Monash researchers have been named as the top Australian researchers in their field. Monash remains the number one institution in Australia, this year being named the top research institution in 55 out of the 250 fields - almost double the number of fields as our closest ranking competitor. As one of the largest, but youngest, research institutions in the country, it is our agile and innovative approach to research that is our strength. Kaveh Majlesi, Nathan Eva, Gil Garnier, Stefan A Maier, Gholamreza (Reza) Haffari, Tim Dwyer , Geoff Webb, Dragan Gasevic, Prof Ranjith PG (FTSE, FCA, FIMMM, FASCE, FINAE, FGS, FIEAust), Rashina Hoda ,Warren Batchelor, Dianna Josephine Magliano OAM , Peter R Ebeling AO, Jo McKenzie, David Hunter-Smith, Jennie Ponsford, Ben Willem Mol, A/Prof Jeremy Grummet, Luca Fiorenza, Bridget Harris, Michael Henderson, Russell Smyth, Rob Raven, Umesh Sharma
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HumaniSE Lab reposted this
A HUGE congratulations to Professor Rashina Hoda on the launch of her first book 'Qualitative Research with Socio-Technical Grounded Theory'. 🎉 We were delighted to host the book launch, attended by colleagues and #PhD students (and fans!) who joined in celebrating this milestone. Providing rare insights into what #STGT is, a research design canvas for PhD students, ways to prepare #data and how to apply this important theory, make sure to get your copy now: https://lnkd.in/gAa4igJx HumaniSE Lab
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Introducing the DynaMO tool: Protecting Mobile DL Models through Coupling Obfuscated DL Operators In software engineering, the internal information of the deployed DL model is directly exposed to threats. Attackers can steal intellectual property or generate harmful attacks for the deployed mobile DL model. What’s unique about DynaMO? Unlike traditional methods, DynaMO effectively uses a dynamic obfuscation strategy, which can obfuscate the intermediate model results and model weights at runtime inference. Thus, it disables the model reverse engineering attacks based on dynamic instrumentation where previous static methods struggle. ➡️ Efficiency: By employing dynamic obfuscation, DynaMO can significantly decrease the performance of dynamic instrumentation attacks. ➡️ Scalability: Designed to tackle multiple DL technologies, including small DL models and LLM. ➡️ Overhead: Compared with static obfuscation strategies, DynaMO has negligible time and RAM overheads. With DynaMO, software developers can prevent attackers from extracting the model's internal information using dynamic instrumentation. Access the tool: https://lnkd.in/gD8EtD2X Learn more: https://lnkd.in/gthkJbnp Monash Information Technology, Mingyi Zhou, Xiang Gao, Xiao Chen, Chunyang Chen, John Grundy, Li Li
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Are you aware of the hidden risks in reusing code from Stack Overflow? While platforms like Stack Overflow (SO) offer quick solutions to development challenges, community-provided code snippets can unknowingly introduce vulnerabilities, leaving smart contracts open to malicious attacks. That’s where SOChecker comes in - a tool purpose-built to detect vulnerabilities in incomplete SO smart contract snippets. By leveraging a fine-tuned Llama2 model for code completion and advanced symbolic execution methods, SOChecker identifies hidden risks other tools miss. Our results speak for themselves: SOChecker analysed 897 SO snippets and achieved an F1 score of 68.2%, outperforming GPT-3.5 and GPT-4 by a large margin. As the smart contract landscape grows, ensuring security from the very beginning is crucial. Let’s make reusing code safer. Access the tool: https://lnkd.in/gXG6Bv88 Monash Information Technology, Jiachi Chen, John Grundy, Chong Chen, Jiang Hu, Yanlin Wang, Ting Chen, Zibin Zheng
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In Bangladesh, fisherfolk face significant challenges due to low socio-economic status and limited digital literacy. Our initiative aimed to empower them through enhanced digital literacy and tailored software solutions. Through literature review, expert consultations, and user feedback, we developed a prototype software for boat captains. This involved co-creation with focus groups to ensure usability and functionality aligned with their needs. Our recommendations emphasise inclusive development to support users from low socio-economic backgrounds. Learn more: https://lnkd.in/d2t5Jn_X Monash Information Technology Tanjila Kanij
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HumaniSE Lab reposted this
PhD Supervisors play a crucial role in developing our next generation of research talent, and it's fantastic that Monash recognises their tireless efforts to foster an environment in which their graduate research students can thrive. At this week’s Vice-Chancellor’s Awards ceremony, I had the honour of announcing the winners of the Vice-Chancellor’s Award for Excellence in Graduate Research Supervision, which celebrates supervisors who have demonstrated exceptional supervision, mentoring and training practices to benefit and enrich the experience of their students. Please join me in congratulating the 2024 winners: HASS Winner: Professor Jakob Hohwy (Faculty of Arts) STEM Winners: Professor Jayantha Kodikara (Faculty of Engineering) & Professor Francine Marques (Faculty of Science) STEM Special Commendation: ARC Laureate Professor John Grundy (Faculty of Information Technology) You can read more about their award-winning approach and meet the other nominees: https://lnkd.in/gwTVzDCp. Pictured left to right: Professor Jakob Hohwy, Professor Jayantha Kodikara, Professor Francine Marques and ARC Laureate Professor John Grundy. Megan A. Farrelly Timothy Scott Peter Betts Guido Tack JaneMaree Maher Clare McCausland Linda Batrich