Multiple Targets Tracking Using Kinematics in Wireless Sensor Networks. - Akond Ashfaque Ur Rahman; Atiqul Islam Mollah; Mahmuda Naznin (Wirel. Sens. Netw., 2011)

Synthesizing Continuous Deployment Practices Used in Software Development. - Akond Ashfaque Ur Rahman; Eric Helms; Laurie A. Williams; Chris Parnin (AGILE, 2015)

Security practices in DevOps. - Akond Ashfaque Ur Rahman; Laurie A. Williams (HotSoS, 2016)

Software security in DevOps: synthesizing practitioners' perceptions and practices. - Akond Ashfaque Ur Rahman; Laurie A. Williams (CSED@ICSE, 2016)

Characterizing Scientific Reporting in Security Literature: An analysis of ACM CCS and IEEE S&P Papers. - Morgan Burcham; Mahran Al-Zyoud; Jeffrey C. Carver; Mohammed Noraden Alsaleh; Hongying Du; Fida Gillani; Jun Jiang; Akond Rahman; Özgür Kafali; Ehab Al-Shaer; Laurie A. Williams (HotSoS, 2017)

Which Factors Influence Practitioners' Usage of Build Automation Tools? - Akond Rahman; Asif Partho; David Meder; Laurie A. Williams (RCoSE@ICSE, 2017)

Predicting Android Application Security and Privacy Risk with Static Code Metrics. - Akond Rahman; Priysha Pradhan; Asif Partho; Laurie A. Williams (MOBILESoft@ICSE, 2017)

Continuous Integration: The Silver Bullet? - Akond Rahman; Amritanshu Agrawal; Rahul Krishna; Alexander Sobran; Tim Menzies (CoRR, 2017)

We don't need another hero?: the impact of "heroes" on software development. - Amritanshu Agrawal; Akond Rahman; Rahul Krishna; Alexander Sobran; Tim Menzies (ICSE (SEIP), 2018)

What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects. - Rahul Krishna; Amritanshu Agrawal; Akond Rahman; Alexander Sobran; Tim Menzies (ICSE (SEIP), 2018)

Characteristics of defective infrastructure as code scripts in DevOps. - Akond Rahman (ICSE (Companion Volume), 2018)

What questions do programmers ask about configuration as code? - Akond Rahman; Asif Partho; Patrick Morrison; Laurie A. Williams (RCoSE@ICSE, 2018)

Defect prediction metrics for infrastructure as code scripts in DevOps. - Akond Rahman; Jonathan Stallings; Laurie A. Williams (ICSE (Companion Volume), 2018)

Anti-Patterns in Infrastructure as Code. - Akond Rahman (ICST, 2018)

Characterizing Defective Configuration Scripts Used for Continuous Deployment. - Akond Rahman; Laurie A. Williams (ICST, 2018)

Comprehension effort and programming activities: related? or not related? - Akond Rahman (MSR, 2018)

Characterizing the influence of continuous integration: empirical results from 250+ open source and proprietary projects. - Akond Rahman; Amritanshu Agrawal; Rahul Krishna; Alexander Sobran (SWAN@ESEC/SIGSOFT FSE, 2018)

Where Are The Gaps? A Systematic Mapping Study of Infrastructure as Code Research. - Akond Rahman; Rezvan Mahdavi-Hezaveh; Laurie A. Williams (CoRR, 2018)

Categorizing Defects in Infrastructure as Code. - Akond Rahman; Sarah Elder; Faysal Hossain Shezan; Vanessa Frost; Jonathan Stallings; Laurie A. Williams (CoRR, 2018)

Blockchain Enabled AI Marketplace: The Price You Pay for Trust. - Kanthi K. Sarpatwar; Venkata Sitaramagiridharganesh Ganapavarapu; Karthikeyan Shanmugam 001; Akond Rahman; Roman Vaculín (CVPR Workshops, 2019)

Characterizing Attacker Behavior in a Cybersecurity Penetration Testing Competition. - Nuthan Munaiah; Akond Rahman; Justin Pelletier; Laurie A. Williams; Andrew Meneely (ESEM, 2019)

A bird's eye view of knowledge needs related to penetration testing. - Akond Rahman; Laurie A. Williams (HotSoS, 2019)

The seven sins: security smells in infrastructure as code scripts. - Akond Rahman; Chris Parnin; Laurie A. Williams (ICSE, 2019)

Synthesizing Program Execution Time Discrepancies in Julia Used for Scientific Software. - Effat Farhana; Nasif Imtiaz; Akond Rahman (ICSME, 2019)

Share, But be Aware: Security Smells in Python Gists. - Md. Rayhanur Rahman; Akond Rahman; Laurie A. Williams (ICSME, 2019)

Challenges with responding to static analysis tool alerts. - Nasif Imtiaz; Akond Rahman; Effat Farhana; Laurie A. Williams (MSR, 2019)

Snakes in paradise?: insecure python-related coding practices in stack overflow. - Akond Rahman; Effat Farhana; Nasif Imtiaz (MSR, 2019)

Security Smells in Infrastructure as Code Scripts. - Akond Rahman; Md. Rayhanur Rahman; Chris Parnin; Laurie A. Williams (CoRR, 2019)

A systematic mapping study of infrastructure as code research. - Akond Rahman; Rezvan Mahdavi-Hezaveh; Laurie A. Williams (Inf. Softw. Technol., 2019)

Source code properties of defective infrastructure as code scripts. - Akond Rahman; Laurie A. Williams (Inf. Softw. Technol., 2019)

Can we use software bug reports to identify vulnerability discovery strategies? - Farzana Ahamed Bhuiyan; Raunak Shakya; Akond Rahman (HotSoS, 2020)

A curated dataset of security defects in scientific software projects. - Justin Murphy; Elias T. Brady; Md. Shazibul Islam Shamim; Akond Rahman (HotSoS, 2020)

A preliminary taxonomy of techniques used in software fuzzing. - Raunak Shakya; Akond Rahman (HotSoS, 2020)

Gang of eight: a defect taxonomy for infrastructure as code scripts. - Akond Rahman; Effat Farhana; Chris Parnin; Laurie A. Williams (ICSE, 2020)

Characterizing co-located insecure coding patterns in infrastructure as code scripts. - Farzana Ahamed Bhuiyan; Akond Rahman (ASE Workshops, 2020)

Vulnerability discovery strategies used in software projects. - Farzana Ahamed Bhuiyan; Akond Rahman; Patrick Morrison (ASE Workshops, 2020)

A vision to mitigate bioinformatics software development challenges. - Akond Rahman; Farzana Ahamed Bhuiyan (ASE Workshops, 2020)

XI Commandments of Kubernetes Security: A Systematization of Knowledge Related to Kubernetes Security Practices. - Md. Shazibul Islam Shamim; Farzana Ahamed Bhuiyan; Akond Rahman (SecDev, 2020)

An Exploratory Characterization of Bugs in COVID-19 Software Projects. - Akond Rahman; Effat Farhana (CoRR, 2020)

The 'as code' activities: development anti-patterns for infrastructure as code. - Akond Rahman; Effat Farhana; Laurie A. Williams (Empir. Softw. Eng., 2020)

Malware Detection and Prevention using Artificial Intelligence Techniques. - Md. Jobair Hossain Faruk; Hossain Shahriar; Maria Valero; Farhat Lamia Barsha; Shahriar Sobhan; Md Abdullah Khan; Michael E. Whitman; Alfredo Cuzzocrea; Dan C. Lo; Akond Rahman; Fan Wu 013 (IEEE BigData, 2021)

An Empirical Study of Vulnerabilities in Robotics. - Kaitlyn Cottrell; Dibyendu Brinto Bose; Hossain Shahriar; Akond Rahman (COMPSAC, 2021)

How Do Students Feel About Automated Security Static Analysis Exercises? - Akond Rahman; Hossain Shahriar; Dibyendu Brinto Bose (FIE, 2021)

Practitioner Perception of Vulnerability Discovery Strategies. - Farzana Ahamed Bhuiyan; Justin Murphy; Patrick Morrison; Akond Rahman (EnCyCriS@ICSE, 2021)

'Under-reported' Security Defects in Kubernetes Manifests. - Dibyendu Brinto Bose; Akond Rahman; Md. Shazibul Islam Shamim (EnCyCriS@ICSE, 2021)

Exercise Perceptions: Experience Report from a Secure Software Development Course. - Akond Rahman; Hossain Shahriar; Dibyendu Brinto Bose (QUATIC, 2021)

Shhh!: 12 Practices for Secret Management in Infrastructure as Code. - Akond Rahman; Farhat Lamia Barsha; Patrick Morrison (SecDev, 2021)

Security Bug Report Usage for Software Vulnerability Research: A Systematic Mapping Study. - Farzana Ahamed Bhuiyan; Md Bulbul Sharif; Akond Rahman (IEEE Access, 2021)

Different Kind of Smells: Security Smells in Infrastructure as Code Scripts. - Akond Rahman; Laurie A. Williams (IEEE Secur. Priv., 2021)

An Empirical Study of Bugs in COVID-19 Software Projects. - Akond Ashfaque Ur Rahman; Effat Farhana (J. Softw. Eng. Res. Dev., 2021)

Security Smells in Ansible and Chef Scripts: A Replication Study. - Akond Rahman; Md. Rayhanur Rahman; Chris Parnin; Laurie A. Williams (ACM Trans. Softw. Eng. Methodol., 2021)

Vision for a secure Elixir ecosystem: an empirical study of vulnerabilities in Elixir programs. - Dibyendu Brinto Bose; Kaitlyn Cottrell; Akond Rahman (ACM Southeast Regional Conference, 2022)

What questions do developers ask about Julia? - Dibyendu Brinto Bose; Gerald C. Gannod; Akond Rahman; Kaitlyn Cottrell (ACM Southeast Regional Conference, 2022)

Bie Vote: A Biometric Identification Enabled Blockchain-Based Secure and Transparent Voting Framework. - Md. Jobair Hossain Faruk; Mazharul Islam; Fazlul Alam; Hossain Shahriar; Akond Rahman (BCCA, 2022)

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. - Mst. Shapna Akter; Md. Jobair Hossain Faruk; Nafisa Anjum; Mohammad Masum; Hossain Shahriar; Nazmus Sakib; Akond Rahman; Fan Wu 013; Alfredo Cuzzocrea (IEEE Big Data, 2022)

A Novel Machine Learning Based Framework for Bridge Condition Analysis. - Mohammad Masum; Nafisa Anjum; Md. Jobair Hossain Faruk; Hossain Shahriar; Nazmus Sakib; Maria Valero; Mohammed Karim; Akond Rahman; Fan Wu 013; Alfredo Cuzzocrea (IEEE Big Data, 2022)

Shifting Left for Machine Learning: An Empirical Study of Security Weaknesses in Supervised Learning-based Projects. - Farzana Ahamed Bhuiyan; Stacy J. Prowell; Hossain Shahriar; Fan Wu 013; Akond Rahman (COMPSAC, 2022)

Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go? - Mohammad Masum; Mohammad Nazim; Md. Jobair Hossain Faruk; Hossain Shahriar; Maria Valero; Md Abdullah Hafiz Khan; Gias Uddin 001; Shabir Barzanjeh; Erhan Saglamyurek; Akond Rahman; Sheikh Iqbal Ahamed (COMPSAC, 2022)

Towards Automation for MLOps: An Exploratory Study of Bot Usage in Deep Learning Libraries. - Akond Rahman; Farzana Ahamed Bhuiyan; Mohammad Mehedi Hassan; Hossain Shahriar; Fan Wu 013 (COMPSAC, 2022)

Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools. - Paramita Basak Upama; Md. Jobair Hossain Faruk; Mohammad Nazim; Mohammad Masum; Hossain Shahriar; Gias Uddin 001; Shabir Barzanjeh; Sheikh Iqbal Ahamed; Akond Rahman (COMPSAC, 2022)

As Code Testing: Characterizing Test Quality in Open Source Ansible Development. - Mohammad Mehedi Hassan; Akond Rahman (ICST, 2022)

Investigating Novel Approaches to Defend Software Supply Chain Attacks. - Md. Jobair Hossain Faruk; Masrura Tasnim; Hossain Shahriar; Maria Valero; Akond Rahman; Fan Wu 013 (ISSRE Workshops, 2022)

Can We use Authentic Learning to Educate Students about Secure Infrastructure as Code Development? - Akond Rahman; Md. Shazibul Islam Shamim; Hossain Shahriar; Fan Wu 013 (ITiCSE (2), 2022)

Development of Blockchain-based e-Voting System: Requirements, Design and Security Perspective. - Md. Jobair Hossain Faruk; Bilash Saha; Mazharul Islam; Fazlul Alam; Hossain Shahriar; Maria Valero; Akond Rahman; Fan Wu 013; Md. Zakirul Alam Bhuiyan (TrustCom, 2022)

Lessons from Research to Practice on Writing Better Quality Puppet Scripts. - Akond Rahman; Tushar Sharma 001 (SANER, 2022)

Benefits, Challenges, and Research Topics: A Multi-vocal Literature Review of Kubernetes. - Shazibul Islam Shamim; Jonathan Alexander Gibson; Patrick Morrison; Akond Rahman (CoRR, 2022)

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection. - Mst. Shapna Akter; Hossain Shahriar; Sheikh Iqbal Ahamed; Kishor Datta Gupta; Muhammad Rahman 006; Atef Mohamed; Mohammad Ashiqur Rahman; Akond Rahman; Fan Wu 013 (COMPSAC, 2023)

A Plugin for Kotlin based Android Apps to Detect Security Breaches through Dataflow. - Md Arabin Islam Talukder; Sumaiya Farzana Mishu; Hossain Shahriar; ABM Kamrul Islam Riad; Fan Wu 013; Akond Rahman (COMPSAC, 2023)

Quality Assurance for Infrastructure Orchestrators: Emerging Results from Ansible. - Yue Zhang 051; Muktadir Rahman; Fan Wu 013; Akond Rahman (ICSA-C, 2023)

Practitioner Perceptions of Ansible Test Smells. - Yue Zhang 051; Fan Wu 013; Akond Rahman (ICSA-C, 2023)

Characterizing Static Analysis Alerts for Terraform Manifests: An Experience Report. - Hanyang Hu; Yani Bu; Kristen Wong; Gaurav Sood; Karen Smiley; Akond Rahman (SecDev, 2023)

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection. - Mst. Shapna Akter; Hossain Shahriar; Sheikh Iqbal Ahamed; Kishor Datta Gupta; Muhammad Asadur Rahman; Atef Mohamed; Mohammad Ashiqur Rahman; Akond Rahman; Fan Wu 013 (CoRR, 2023)

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. - Mst. Shapna Akter; Md. Jobair Hossain Faruk; Nafisa Anjum; Mohammad Masum; Hossain Shahriar; Akond Rahman; Fan Wu 013; Alfredo Cuzzocrea (CoRR, 2023)

Teaching DevOps Security Education with Hands-on Labware: Automated Detection of Security Weakness in Python. - Mst. Shapna Akter; Juanjose Rodriguez-Cardenas; Hossain Shahriar; Akond Rahman; Fan Wu 013 (CoRR, 2023)

Come for syntax, stay for speed, understand defects: an empirical study of defects in Julia programs. - Akond Rahman; Dibyendu Brinto Bose; Raunak Shakya; Rahul Pandita (Empir. Softw. Eng., 2023)

Log-related Coding Patterns to Conduct Postmortems of Attacks in Supervised Learning-based Projects. - Farzana Ahamed Bhuiyan; Akond Rahman (ACM Trans. Priv. Secur., 2023)

Detecting and Characterizing Propagation of Security Weaknesses in Puppet-Based Infrastructure Management. - Akond Rahman; Chris Parnin (IEEE Trans. Software Eng., 2023)

Security Misconfigurations in Open Source Kubernetes Manifests: An Empirical Study. - Akond Rahman; Shazibul Islam Shamim; Dibyendu Brinto Bose; Rahul Pandita (ACM Trans. Softw. Eng. Methodol., 2023)

Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns. - Jan H. Klemmer; Stefan Albert Horstmann; Nikhil Patnaik; Cordelia Ludden; Cordell Burton Jr.; Carson Powers; Fabio Massacci; Akond Rahman; Daniel Votipka; Heather Richter Lipford; Awais Rashid; Alena Naiakshina; et al. (CCS, 2024)

Mitigating Insecure Outputs in Large Language Models(LLMs): A Practical Educational Module. - Abdul Barek; Md. Mostafizur Rahman; Mst. Shapna Akter; ABM Kamrul Islam Riad; Md. Abdur Rahman 003; Hossain Shahriar; Akond Rahman; Fan Wu 013 (COMPSAC, 2024)

Authentic Learning on DevOps Security with Labware: Git Hooks To Facilitate Automated Security Static Analysis. - Md. Mostafizur Rahman; Abdul Barek; Mst. Shapna Akter; ABM Kamrul Islam Riad; Md. Abdur Rahman 003; Hossain Shahriar; Akond Rahman; Fan Wu 013 (COMPSAC, 2024)

Challenges and Preferences of Learning Machine Learning: A Student Perspective. - Effat Farhana; Fan Wu 013; Hossain Shahriar; Shubhra Kanti Karmaker Santu; Akond Rahman (FIE, 2024)

Students Perceptions of Authentic Learning for Learning Information Flow Analysis. - Akond Rahman; Fan Wu 013; Hossain Shahriar (FIE, 2024)

Does Generative AI Generate Smells Related to Container Orchestration?: An Exploratory Study with Kubernetes Manifests. - Yue Zhang 051; Rachel Meredith; Wilson Reeves; Julia Coriolano; Muhammad Ali Babar 001; Akond Rahman (MSR, 2024)

Evaluating the Quality of Open Source Ansible Playbooks: An Executability Perspective. - Pemsith Mendis; Wilson Reeves; Muhammad Ali Babar 001; Yue Zhang 051; Akond Rahman (SEA4DQ@SIGSOFT FSE, 2024)

Student Perceptions of Authentic Learning to Learn White-box Testing. - Akond Rahman; Yue Zhang 051; Fan Wu 013; Hossain Shahriar (SIGCSE (2), 2024)

State Reconciliation Defects in Infrastructure as Code. - Md. Mahadi Hassan; John Salvador; Shubhra Kanti Karmaker Santu; Akond Rahman (Proc. ACM Softw. Eng., 2024)

An empirical study of task infections in Ansible scripts. - Akond Rahman; Dibyendu Brinto Bose; Yue Zhang 051; Rahul Pandita (Empir. Softw. Eng., 2024)

Defect Categorization in Compilers: A Multi-vocal Literature Review. - Akond Rahman; Dibyendu Brinto Bose; Farhat Lamia Barsha; Rahul Pandita (ACM Comput. Surv., 2024)

Transforming online voting: a novel system utilizing blockchain and biometric verification for enhanced security, privacy, and transparency. - Md. Jobair Hossain Faruk; Fazlul Alam; Mazharul Islam; Akond Rahman (Clust. Comput., 2024)

White-box Fuzzing in the Wild: A Chaos Engineering Module for DevOps Security Education. - Md. Mostafizur Rahman; Md Bajlur Rashid; Abdul Barek; ABM Kamrul Islam Riad; Md. Abdur Rahman 003; Hossain Shahriar; Akond Rahman; Fan Wu 013; Guillermo Francia III; Md. Jobair Hossain Faruk; Sharaban Tahora (COMPSAC, 2025)

Authentic Learning Exercise for Kubernetes Misconfigurations: An Experience Report of Student Perceptions. - Shazibul Islam Shamim; Fan Wu 013; Hossain Shahriar; Anthony Skjellum; Akond Rahman (CSEE&T, 2025)

An Exploratory Study of Security Vulnerabilities in Machine Learning Deployment Projects. - Akond Rahman; Anthony Skjellum; Yue Zhang 051 (SVM@ICSE, 2025)

On Prescription or Off Prescription? An Empirical Study of Community-Prescribed Security Configurations for Kubernetes. - Shazibul Islam Shamim; Hanyang Hu; Akond Rahman (ICSE, 2025)

Authorship of Minor Contributors in Kubernetes Configuration Scripts: An Exploratory Study. - Akond Rahman; Gerry V. Dozier; Yue Zhang 051 (SIGSOFT FSE Companion, 2025)

Dynamic Application Security Testing for Kubernetes Deployment: An Experience Report from Industry. - Shazibul Islam Shamim; Hanyang Hu; Akond Rahman (SIGSOFT FSE Companion, 2025)

Come for syntax, stay for speed, write secure code: an empirical study of security weaknesses in Julia programs. - Yue Zhang 051; Justin Murphy; Akond Rahman (Empir. Softw. Eng., 2025)

Large Language Models for IT Automation Tasks: Are We There Yet? - Md. Mahadi Hassan; John Salvador; Akond Rahman; Santu Karmaker (CoRR, 2025)