Training for Security: Planning the Use of a SAT in the Development Pipeline of Web Apps
We designed a prospective empirical investigation to study our STW (Software Technologies for the Web) course with respect to the training of bachelor students in the context of software security when developing e-commerce Web apps. To that end, we devised the following steps: (i) studying the state of the students enrolled in the STW course in the a.y. (academic year) 2021-22; (ii) defining a training plan for the a.y. 2022-23; and (iii) acting the plan and measuring the differences (if any) between the students of the a.y. 2021-22 and 2022-23. In this idea paper, we present the results of the former two steps, as well as the evaluation strategy of the proposed training plan. We observed that security concerns are widespread in the code of the Web apps the students of the STW course (a.y. 2021-22) developed. Therefore, we plan (second step) to ask the students of the STW course (a.y. 2022-23) to use in their development pipeline a Static Analysis Tool (SAT) to detect security concerns.
Wed 17 MayDisplayed time zone: Hobart change
15:45 - 17:15 | SE for security 1Technical Track / SEET - Software Engineering Education and Training / Journal-First Papers / SEIS - Software Engineering in Society at Meeting Room 103 Chair(s): Abhik Roychoudhury National University of Singapore | ||
15:45 15mTalk | TAINTMINI: Detecting Flow of Sensitive Data in Mini-Programs with Static Taint Analysis Technical Track Chao Wang , Ronny Ko The Ohio State University, Yue Zhang The Ohio State University, Yuqing Yang The Ohio State University, Zhiqiang Lin The Ohio State University | ||
16:00 15mTalk | AChecker: Statically Detecting Smart Contract Access Control Vulnerabilities Technical Track Asem Ghaleb University of British Columbia, Julia Rubin University of British Columbia, Canada, Karthik Pattabiraman University of British Columbia | ||
16:15 15mTalk | Fine-grained Commit-level Vulnerability Type Prediction By CWE Tree Structure Technical Track Shengyi Pan Zhejiang University, Lingfeng Bao Zhejiang University, Xin Xia Huawei, David Lo Singapore Management University, Shanping Li Zhejiang University Pre-print | ||
16:30 15mPaper | Security Thinking in Online Freelance Software Development SEIS - Software Engineering in Society Irum Rauf The Open University, UK, Marian Petre School of Computing and Communications, The Open University, UK, Thein Tun School of Computing and Communications,The Open University, UK; Simply Business, UK, Tamara Lopez The Open University, Bashar Nuseibeh The Open University, UK; Lero, University of Limerick, Ireland | ||
16:45 7mTalk | Open Science in Software Engineering: A Study on Deep Learning-Based Vulnerability Detection Journal-First Papers Yu Nong Washington State University, Rainy Sharma Washington State University, Wahab Hamou-Lhadj Concordia University, Montreal, Canada, Xiapu Luo The Hong Kong Polytechnic University, Haipeng Cai Washington State University Link to publication DOI Authorizer link Pre-print | ||
16:52 8mTalk | Training for Security: Planning the Use of a SAT in the Development Pipeline of Web Apps SEET - Software Engineering Education and Training Sabato Nocera University of Salerno, Simone Romano University of Salerno, Rita Francese University of Salerno, Giuseppe Scanniello University of Salerno | ||
17:00 15mTalk | VulGen: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning Technical Track Yu Nong Washington State University, Yuzhe Ou University of Texas at Dallas, Michael Pradel University of Stuttgart, Feng Chen University of Texas at Dallas, Haipeng Cai Washington State University Pre-print |