Software Engineering Commons^™

Deepjit: An End-To-End Deep Learning Framework For Just-In-Time Defect Prediction, Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo, Naoyasu Ubayashi

Research Collection School Of Computing and Information Systems

Software quality assurance efforts often focus on identifying defective code. To find likely defective code early, change-level defect prediction – aka. Just-In-Time (JIT) defect prediction – has been proposed. JIT defect prediction models identify likely defective changes and they are trained using machine learning techniques with the assumption that historical changes are similar to future ones. Most existing JIT defect prediction approaches make use of manually engineered features. Unlike those approaches, in this paper, we propose an end-to-end deep learning framework, named DeepJIT, that automatically extracts features from commit messages and code changes and use them to identify defects. Experiments …

A Homophily-Free Community Detection Framework For Trajectories With Delayed Responses, Chung-Kyun Han, Shih-Fen Cheng, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

No abstract provided.

Yelp Improved : Aggregating Restaurant Reviews, Kunal Sonar

Creative Activity and Research Day - CARD

In the near future, online food delivery service companies would occupy a big market share in the food industry. This project aims to provide factual information from customer reviews as part of the numerous innovations in place to drive business and demands. Natural Language Processing is used to provide a comprehensive view of individual restaurants using technologies like NLTK, SpaCy, Gensim and Sklearn. Data of one million Las Vegas restaurant customer reviews is curated from the Yelp Dataset Challenge. Reviews are pre-processed, split into chunks of phrases and mapped to attributes like food, budget, service etc. These attributes are derived …

Building Consumer Trust In The Cloud: An Experimental Analysis Of The Cloud Trust Label Approach, Lisa Van Der Werff, Grace Fox, Ieva Masevic, Vincent C. Emeakaroha, John P. Morrison, Theo Lynn

Department of Computer Science Publications

The lack of transparency surrounding cloud service provision makes it difficult for consumers to make knowledge based purchasing decisions. As a result, consumer trust has become a major impediment to cloud computing adoption. Cloud Trust Labels represent a means of communicating relevant service and security information to potential customers on the cloud service provided, thereby facilitating informed decision making. This research investigates the potential of a Cloud Trust Label system to overcome the trust barrier. Specifically, it examines the impact of a Cloud Trust Label on consumer perceptions of a service and cloud service provider trustworthiness and trust in the …

The Standards Project, Dustin Robbins

Honors Theses

The Standards Project is a web app that is intended to assist United States K-12 students in meeting the academic standards each state has set out for their students. The app is intended to allow instructors to see how proficient incoming students are in standards set for the prior grade (e.g. 6th grade students’ 5th grade math skills would be shown) and launch “interventions”—be these online modules with educational content and quiz questions, after school activities, or some other form of instruction—in order to help students in problem areas while spending a minimum of class time on old material.

It …

Use Of Software Process In Research Software Development:A Survey, Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver

Computer Science: Faculty Publications and Other Works

Background: Developers face challenges in building high-quality research software due to its inherent complexity. These challenges can reduce the confidence users have in the quality of the result produced by the software. Use of a defined software development process, which divides the development into distinct phases, results in improved design, more trustworthy results, and better project management. Aims: This paper focuses on gaining a better understanding of the use of software development process for research software. Method: We surveyed research software developers to collect information about their use of software development processes. We analyze whether and demographic factors influence the …

Automated Tool Support For Security Bug Repair In Mobile Applications, Larry Singleton

Computer Science Graduate Research Workshop

No abstract provided.

Tool Support For Recurring Code Change Inspection With Deep Learning, Krishna Teja Ayinala

Computer Science Graduate Research Workshop

No abstract provided.

Lightweight Formal Methods For Improving Software Security, Andrew Berns, James Curbow, Joshua Hilliard, Sheriff Jorkeh, Miho Sanders

Research in the Capitol

This research examines how software specifications could be used to build more-secure software. For this project, we analyzed known vulnerabilities for open source projects to identify the corrective actions required to patch the vulnerability. For each vulnerability, we then augmented the program with formal assertions in an attempt to allow a static analysis tool to find the vulnerability. Using the information gathered from these assertions, we hope to determine which assertions are most effective at finding vulnerabilities with today's tools and evaluate new assertions that could be added to the static analysis tool to help uncover more vulnerabilities. My work …

Take Note: An Investigation Of The Impact Of Human Computer Interaction On The Line Note Taking Process In Theatre, Rene Borr

Computer Science

Most technology used in the theatre was not originally designed for use in a theatrical setting. A majority of technology that we see on the state has been adapted from another field -- be it music, lighting, or construction -- to fit the production's specifics needs. The very nature of the theatre is that every performance is unique, which established one of the main challenges when creating technology to be used in the theatrical setting. This paper discusses the design, creation, and testing of a program to help stage managers take line notes during rehearsal for a theatrical production. We …

Scalable Containerized Security Training Environment, Robert Sauer

Mahurin Honors College Capstone Experience/Thesis Projects

The purpose of this project is to develop a portable application which is hosted on a server that provides an environment to safely conduct security training procedures and protocols. The project will be scalable to handle from a few to a multitude of users concurrently using a single server. For many users to perform security training simultaneously, each user must be directed to a sandbox environment, a container, where one user’s actions do not affect the website or database of other users. Furthermore, such an application should be readily deployable into any environment to provide the widest range of compatibility. …

Analysis And Comparison Of Multiple Approaches For Software Development Management As Applied To A Design Studio Project, Bethany Hage

Honors Program: Senior Projects (Public)

This research analyzes multiple approaches to software development management through the lens of my experience in the Raikes Design Studio capstone program. The Design Studio project I participated in was a project for the company Hudl, and throughout its course we used techniques from the Agile framework of Scrum. I compared the Scrum principles to my team’s own application over the course of the project, and I researched other software development methodologies such as Extreme Programming and Lean in order to determine whether they could improve the effectiveness of the current Design Studio experience. The proposed solution to this question …

Deepreview: Automatic Code Review Using Deep Multi-Instance Learning, Hengyi Li, Shuting Shi, Ferdian Thung, Xuan Huo, Bowen Xu, Ming Li, David Lo

Research Collection School Of Computing and Information Systems

Code review, an inspection of code changes in order to identify and fix defects before integration, is essential in Software Quality Assurance (SQA). Code review is a time-consuming task since the reviewers need to understand, analysis and provide comments manually. To alleviate the burden of reviewers, automatic code review is needed. However, this task has not been well studied before. To bridge this research gap, in this paper, we formalize automatic code review as a multi-instance learning task that each change consisting of multiple hunks is regarded as a bag, and each hunk is described as an instance. We propose …

Dynamic Student Classification On Memory Networks For Knowledge Tracing, Sein Minn, Michel C. Desmarais, Feida Zhu, Jing Xiao, Jianzong Wang

Research Collection School Of Computing and Information Systems

Knowledge Tracing (KT) is the assessment of student’s knowledge state and predicting whether that student may or may not answer the next problem correctly based on a number of previous practices and outcomes in their learning process. KT leverages machine learning and data mining techniques to provide better assessment, supportive learning feedback and adaptive instructions. In this paper, we propose a novel model called Dynamic Student Classification on Memory Networks (DSCMN) for knowledge tracing that enhances existing KT approaches by capturing temporal learning ability at each time interval in student’s long-term learning process. Experimental results confirm that the proposed model …

Estimating And Visualizing Debt Using Debt Calculator, Donald E. Landrum Jr., Caleb D.H. Parks

Senior Theses

Debt Calculator is a web application that our team developed this year to assist users in understanding and visualizing both their current debt sources, such as student loans, car loans, and credit card debt, and the impact that upcoming career choices, such as where they attend graduate school or which job offer they accept, will have on their standards of living and savings accounts. All of the data that our application bases its analysis upon is entered by the user, and none of the algorithms that our application performs are particularly unique or proprietary; rather, the value that our application …

Revocable Attribute-Based Encryption With Decryption Key Exposure Resistance And Ciphertext Delegation, Shengmin Xu, Guomin Yang, Yi Mu

Research Collection School Of Computing and Information Systems

Attribute-based encryption (ABE) enables fine-grained access control over encrypted data. A practical and popular approach for handing revocation in ABE is to use the indirect revocation mechanism, in which a key generation centre (KGC) periodically broadcasts key update information for all data users over a public channel. Unfortunately, existing RABE schemes are vulnerable to decryption key exposure attack which has been well studied in the identity-based setting. In this paper, we introduce a new notion for RABE called re-randomizable piecewise key generation by allowing a data user to re-randmomize the combined secret key and the key update to obtain the …

Dependable Machine Intelligence At The Tactical Edge, Archan Misra, Kasthuri Jayarajah, Dulanga Kaveesha Weerakoon Weerakoon Mudiyanselage, Randy Tandriansyah Daratan, Shuochao Yao, Tarek Abdelzaher

Research Collection School Of Computing and Information Systems

The paper describes a vision for dependable application of machine learning-based inferencing on resource-constrained edge devices. The high computational overhead of sophisticated deep learning learning techniques imposes a prohibitive overhead, both in terms of energy consumption and sustainable processing throughput, on such resource-constrained edge devices (e.g., audio or video sensors). To overcome these limitations, we propose a ``cognitive edge" paradigm, whereby (a) an edge device first autonomously uses statistical analysis to identify potential collaborative IoT nodes, and (b) the IoT nodes then perform real-time sharing of various intermediate state to improve their individual execution of machine intelligence tasks. We provide …

To The Attention Of Mobile Software Developers: Guess What, Test Your App!, Luis C. Cruz, Rui Abreu, David Lo

Research Collection School Of Computing and Information Systems

Software testing is an important phase in the software development lifecycle because it helps in identifying bugs in a software system before it is shipped into the hand of its end users. There are numerous studies on how developers test general-purpose software applications. The idiosyncrasies of mobile software applications, however, set mobile apps apart from general-purpose systems (e.g., desktop, stand-alone applications, web services). This paper investigates working habits and challenges of mobile software developers with respect to testing. A key finding of our exhaustive study, using 1000 Android apps, demonstrates that mobile apps are still tested in a very ad …

Perception Coordination Network: A Neuro Framework For Multimodal Concept Acquisition And Binding, You-Lu Xing, Xiao-Feng Shi, Fu-Rao Shen, Jin-Xi Zhao, Jing-Xin Pan, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

To simulate the concept acquisition and binding of different senses in the brain, a biologically inspired neural network model named perception coordination network (PCN) is proposed. It is a hierarchical structure, which is functionally divided into the primary sensory area (PSA), the primary sensory association area (SAA), and the higher order association area (HAA). The PSA contains feature neurons which respond to many elementary features, e.g., colors, shapes, syllables, and basic flavors. The SAA contains primary concept neurons which combine the elementary features in the PSA to represent unimodal concept of objects, e.g., the image of an apple, the Chinese …

The Effect Of Modeling Simultaneous Events On Simulation Results, John M. Carboni

Theses and Dissertations

This thesis explores the method that governs the prioritizing process for simultaneous events in relation to simulation results for discrete-event simulations. Specifically, it contrasts typical discrete-event simulation (DES) execution algorithms with how events are selected and ordered by the discrete-event system specification (DEVS) formalism. The motivation for this research stems from a desire to understand how the selection of events affects simulation output (i.e., response). As a particular use case, we briefly investigate the processing of simultaneous events by the Advanced Framework for Simulation, Integration and Modeling (AFSIM), a military discrete-event combat modeling and simulation package. To facilitate the building …