Digital Commons Network^™

An Experiential-Learning Approach For Delivering An Accounting Analytics Capstone Course, Poh Sun Seow, Gary Pan, Clarence Goh

Research Collection School Of Accountancy

The accounting profession is rapidly evolving due to technological innovations. There have been calls for universities to ensure that their programs equip accounting students with the relevant technology skills that will prepare them for the workplace of the future. This article introduces an accounting analytics capstone course that was delivered in an experiential-learning approach. Through the student consultancy project in the capstone course, students learn how to solve complex business problems with guidance from the faculty and industry project sponsor mentors, from problem definition to final client presentation. This close collaboration between faculty and project sponsors facilitates the exchange of …

Deeplight: Robust And Unobtrusive Real-Time Screen-Camera Communication For Real-World Displays, Vu Huy Tran, Gihan Jayatilaka, Ashwin Ashok, Archan Misra

Research Collection School Of Computing and Information Systems

The paper introduces a novel, holistic approach for robust Screen-Camera Communication (SCC), where video content on a screen is visually encoded in a human-imperceptible fashion and decoded by a camera capturing images of such screen content. We first show that state-of-the-art SCC techniques have two key limitations for in-the-wild deployment: (a) the decoding accuracy drops rapidly under even modest screen extraction errors from the captured images, and (b) they generate perceptible flickers on common refresh rate screens even with minimal modulation of pixel intensity. To overcome these challenges, we introduce DeepLight, a system that incorporates machine learning (ML) models in …

Sguard: Towards Fixing Vulnerable Smart Contracts Automatically, Tai D. Nguyen, Long H. Pham, Jun Sun

Research Collection School Of Computing and Information Systems

Smart contracts are distributed, self-enforcing programs executing on top of blockchain networks. They have the potential to revolutionize many industries such as financial institutes and supply chains. However, smart contracts are subject to code-based vulnerabilities, which casts a shadow on its applications. As smart contracts are unpatchable (due to the immutability of blockchain), it is essential that smart contracts are guaranteed to be free of vulnerabilities. Unfortunately, smart contract languages such as Solidity are Turing-complete, which implies that verifying them statically is infeasible. Thus, alternative approaches must be developed to provide the guarantee. In this work, we develop an approach …

Dialogue State Tracking With Incremental Reasoning, Lizi Liao, Le Hong Long, Yunshan Ma, Wenqiang Lei, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Tracking dialogue states to better interpret user goals and feed downstream policy learning is a bottleneck in dialogue management. Common practice has been to treat it as a problem of classifying dialogue content into a set of pre-defined slot-value pairs, or generating values for different slots given the dialogue history. Both have limitations on considering dependencies that occur on dialogues, and are lacking of reasoning capabilities. This paper proposes to track dialogue states gradually with reasoning over dialogue turns with the help of the back-end data. Empirical results demonstrate that our method outperforms the state-of-theart methods in terms of joint …

Low-Power Downlink For The Internet Of Things Using Ieee 802.11-Compliant Wake-Up Receivers, Johannes Blobel, Vu Huy Tran, Archan Misra, Falko Dressler

Research Collection School Of Computing and Information Systems

Ultra-low power communication is critical for supporting the next generation of battery-operated or energy harvesting battery-less Internet of Things (IoT) devices. Duty cycling protocols and wake-up receiver (WuRx) technologies, and their combinations, have been investigated as energy-efficient mechanisms to support selective, event-driven activation of devices. In this paper, we go one step further and show how WuRx can be used for an efficient and multi-purpose low power downlink (LPD) communication channel. We demonstrate how to (a) extend the wake-up signal to support low-power flexible and extensible unicast, multicast, and broadcast downlink communication and (b) utilize the WuRx-based LPD to also …

Androevolve: Automated Update For Android Deprecated-Api Usages, Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller

Research Collection School Of Computing and Information Systems

The Android operating system (OS) is often updated, where each new version may involve API deprecation. Usages of deprecated APIs in Android apps need to be updated to ensure the apps' compatibility with the old and new versions of the Android OS. In this work, we propose AndroEvolve, an automated tool to update usages of deprecated Android APIs, that addresses the limitations of the state-of-the-art tool, CocciEvolve. AndroEvolve utilizes data flow analysis to solve the problem of out-of-method-boundary variables, and variable denormalization to remove the temporary variables introduced by CocciEvolve. We evaluated the accuracy of AndroEvolve using a dataset of …

Characterization And Prediction Of Questions Without Accepted Answers On Stack Overflow, Mohamad Yazdaninia, David Lo, Ashkan Sami

Research Collection School Of Computing and Information Systems

A fast and effective approach to obtain information regarding software development problems is to search them to find similar solved problems or post questions on community question answering (CQA) websites. Solving coding problems in a short time is important, so these CQAs have a considerable impact on the software development process. However, if developers do not get their expected answers, the websites will not be useful, and software development time will increase. Stack Overflow is the most popular CQA concerning programming problems. According to its rules, the only sign that shows a question poser has achieved the desired answer is …

Automated Query Reformulation For Efficient Search Based On Query Logs From Stack Overflow, Kaibo Cao, Chunyang Chen, Sebastian Baltes, Christoph Treude, Xiang Chen

Research Collection School Of Computing and Information Systems

As a popular Q&A site for programming, Stack Overflow is a treasure for developers. However, the amount of questions and answers on Stack Overflow make it difficult for developers to efficiently locate the information they are looking for. There are two gaps leading to poor search results: the gap between the user's intention and the textual query, and the semantic gap between the query and the post content. Therefore, developers have to constantly reformulate their queries by correcting misspelled words, adding limitations to certain programming languages or platforms, etc. As query reformulation is tedious for developers, especially for novices, we …

How Do Software Developers Use Github Actions To Automate Their Workflows?, Timothy Kinsman, Mairieli Wessel, Marco Gerosa, Christoph Treude

Research Collection School Of Computing and Information Systems

Automated tools are frequently used in social coding repositories to perform repetitive activities that are part of the distributed software development process. Recently, GitHub introduced GitHub Actions, a feature providing automated work-flows for repository maintainers. Although several Actions have been built and used by practitioners, relatively little has been done to evaluate them. Understanding and anticipating the effects of adopting such kind of technology is important for planning and management. Our research is the first to investigate how developers use Actions and how several activity indicators change after their adoption. Our results indicate that, although only a small subset of …

Characterising The Knowledge About Primitive Variables In Java Code Comments, Mahfouth Alghamdi, Shinpei Hayashi, Takashi Kobayashi, Christoph Treude

Research Collection School Of Computing and Information Systems

Primitive types are fundamental components available in any programming language, which serve as the building blocks of data manipulation. Understanding the role of these types in source code is essential to write software. Little work has been conducted on how often these variables are documented in code comments and what types of knowledge the comments provide about variables of primitive types. In this paper, we present an approach for detecting primitive variables and their description in comments using lexical matching and advanced matching. We evaluate our approaches by comparing the lexical and advanced matching performance in terms of recall, precision, …

Automatic Solution Summarization For Crash Bugs, Haoye Wang, Xin Xia, David Lo, John C. Grundy, Xinyu Wang

Research Collection School Of Computing and Information Systems

The causes of software crashes can be hidden anywhere in the source code and development environment. When encountering software crashes, recurring bugs that are discussed on Q&A sites could provide developers with solutions to their crashing problems. However, it is difficult for developers to accurately search for relevant content on search engines, and developers have to spend a lot of manual effort to find the right solution from the returned results. In this paper, we present CRASOLVER, an approach that takes into account both the structural information of crash traces and the knowledge of crash-causing bugs to automatically summarize solutions …

Infercode: Self-Supervised Learning Of Code Representations By Predicting Subtrees, Duy Quoc Nghi Bui, Yijun Yu, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Learning code representations has found many uses in software engineering, such as code classification, code search, code comment generation, and bug prediction. Although representations of code in tokens, syntax trees, dependency graphs, paths in trees, or the combinations of their variants have been proposed, existing learning techniques have a major limitation that these models are often trained on datasets labeled for specific downstream tasks, and the code representations may not be suitable for other tasks. Even though some techniques generate representations from unlabeled code, they are far from satisfactory when applied to downstream tasks. To overcome the limitation, this paper …

On The Root Of Trust Identification Problem, Ivan De Oliveira Nunes, Xuhua Ding, Gene Tsudik

Research Collection School Of Computing and Information Systems

Trusted Execution Environments (TEEs) are becoming ubiquitous and are currently used in many security applications: from personal IoT gadgets to banking and databases. Prominent examples of such architectures are Intel SGX, ARM TrustZone, and Trusted Platform Modules (TPMs). A typical TEE relies on a dynamic Root of Trust (RoT) to provide security services such as code/data confidentiality and integrity, isolated secure software execution, remote attestation, and sensor auditing. Despite their usefulness, there is currently no secure means to determine whether a given security service or task is being performed by the particular RoT within a specific physical device. We refer …

Automatic Web Testing Using Curiosity-Driven Reinforcement Learning, Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu

Research Collection School Of Computing and Information Systems

Web testing has long been recognized as a notoriously difficult task. Even nowadays, web testing still heavily relies on manual efforts while automated web testing is far from achieving human-level performance. Key challenges in web testing include dynamic content update and deep bugs hiding under complicated user interactions and specific input values, which can only be triggered by certain action sequences in the huge search space. In this paper, we propose WebExplor, an automatic end-to-end web testing framework, to achieve an adaptive exploration of web applications. WebExplor adopts curiosity-driven reinforcement learning to generate high-quality action sequences (test cases) satisfying temporal …

A Visual Analytics Approach To Facilitate The Proctoring Of Online Exams, Haotian Li, Min Xu, Yong Wang, Huan Wei, Huamin Qu

Research Collection School Of Computing and Information Systems

Online exams have become widely used in recent years to evaluate students’ performance in mastering the knowledge, especially during the pandemic of COVID-19. However, it is challenging to conduct proctoring for online exams due to the lack of face-to-face interactions. Also, prior research has shown that online exams are more vulnerable to various cheating behaviors, which can damage the credibility of online exams. In this paper, we present a novel vi- sual analytics approach to facilitate the proctoring of online exams by analyzing the exam video records and mouse movement data of each student. Specifically, we detect and visualize suspected …

Angrybert: Joint Learning Target And Emotion For Hate Speech Detection, Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrović

Research Collection School Of Computing and Information Systems

Automated hate speech detection in social media is a challenging task that has recently gained significant traction in the data mining and Natural Language Processing community. However, most of the existing methods adopt a supervised approach that depended heavily on the annotated hate speech datasets, which are imbalanced and often lack training samples for hateful content. This paper addresses the research gaps by proposing a novel multitask learning-based model, AngryBERT, which jointly learns hate speech detection with sentiment classification and target identification as secondary relevant tasks. We conduct extensive experiments to augment three commonly-used hate speech detection datasets. Our experiment …

The Many Faces Of Class Ceiling: Its Manifestations At Different Career Stages And Ways To Overcome It, Jia Hui Lim

Dissertations and Theses Collection (Open Access)

Even with comparable education and level of competence, workers with lower socioeconomic status (SES) origins are disadvantaged in terms of earnings and occupational attainment. This class gap, or the “class ceiling,” is as large as the gender gap, but poorly understood. In my dissertation, I designed a series of related projects to explain and potentially mitigate the class ceiling problem. Across three projects, I mainly focused on where the problem starts—labor market and newcomer adjustment in organizations. I find that, beyond discrimination and bias that has been the focus of past work, many challenges stem from workers’ own psychology and …

Developmental Dyslexia And Creativity: A Meta-Analysis, Nadyannam M. Majeed, Andree Hartanto, Jacinth J. X. Tan

Research Collection School of Social Sciences

Despite difficulties in reading and writing, some research suggests that dyslexia may be related to higher levels of creativity. However, this pattern is not consistently observed. The current research sought to ascertain whether individuals with clinically diagnosed dyslexia exhibit higher creativity than controls through a meta-analysis. Fourteen studies that assessed the creativity of 397 individuals with clinically diagnosed dyslexia and 453 controls were reviewed. Random-effects meta-analysis revealed an overall non-significant difference in creativity scores between those with dyslexia and controls. Additionally, method factors such as the type of creativity task and whether intelligence was controlled for, as well as sample-related …

Two Roads Diverged: An Alternative Perspective On The Easi Model, Nadhilla Velda Melia

Dissertations and Theses Collection (Open Access)

Research on the interpersonal effect of anger expressions on others’ concessionary behaviour has found conflicting results about whether anger expressions increase or decrease concessionary behaviour. The Emotions as Social Information (EASI) model (Van Kleef, 2009, 2014) proposed that these conflicting findings can be resolved by looking at inferential and affective processes. Specifically, anger expressions increase concessionary behaviour via inferential processes but decrease concessionary behaviour via affective processes. However, previous research has mainly focused on dominance-related inferences and reciprocal anger reactions. I propose that the relationship between anger expressions and concessionary behaviour is determined by the type of inferential and affective …

Debiasing A Decision Maker Facing Supply Uncertainties In A Newsvendor Setting, Alan William Zeller

Dissertations and Theses Collection (Open Access)

Companies must be prepared to manage uncontrollable events that will disrupt their supply chain and add uncertainty to their inventory models.

This thesis first studies the effect of different types of supply disruption risks on the ordering performance of profit-maximizing decision makers in a newsvendor setting.

Then, this thesis aims at extending the literature on the newsvendor model in studying the effect of a Decision Support System and the effect of a Secondary Task on the ordering performance of profit-maximizing decision makers who face supply uncertainties in a newsvendor setting.

Finally, implications for scholars and practitioners are discussed.

Two Essays On Innovation And Growth In China, Qiugu He

Dissertations and Theses Collection (Open Access)

This dissertation studies China’s economic growth from a perspective of industry dynamics. In chapter 1, I introduce the background and policies relating to China’s economic growth after 1978. In chapter 2, I find that the elasticity of the average R&D expenditure of firms on competition is -0.29 in weak-IPR (intellectual property right) provinces, and -0.06 in strict-IPR provinces. Next, I use the Schumpeterian growth model to explain this finding: When the market becomes more competitive, a firm prefers imitation to innovation to a larger extent, as a means of getting new technology. Due to enforcement of IPR laws, the imitation …

Behavioural Incentivization In Healthcare Operations, Nicholas Teck Boon Yeo

Dissertations and Theses Collection (Open Access)

Common across current research in healthcare operations is the conclusion that there exist many inefficiencies in today’s healthcare systems. Governments and healthcare organisations have sought to address these inefficiencies through the introduction of new policies and operational procedures or by relying on incentives to encourage specific behaviour. However, despite these attempts to reduce inefficiencies in the healthcare systems, the problem persists and is further exacerbated by growing medical complexities coupled with a rapidly ageing population. Against this backdrop, this dissertation investigates two issues within healthcare operations: (i) colorectal cancer (CRC) screening adherence, and (ii) blood donor management. A distinguishing feature …

The Impact Of Kiasu Mindset On Students’ Achievement Goal Orientations And Learning Strategies In Singapore, Haelim Choi

Dissertations and Theses Collection (Open Access)

Kiasuism, defined as the fear of losing out, has been a well-known and widespread phenomenon in Singapore. Despite the long history of Kiasuism in Singaporeans, there has been a dearth of research in this topic. The current research investigated the influence of the Kiasu mindset on Singaporean students’ achievement goal orientation and learning strategy, and also explored the impact of social comparison as a moderator. Study 1 showed initial evidence of a positive relationship between Kiasu mindset and performance goal orientations (i.e., approach and avoidance). Study 2 replicated this finding and further revealed a positive association of Kiasu mindset with …

Reward Structures And Negotiation Strategies: The Use Of Deception In Negotiation, Jermaine Pin Xiu Lim

Dissertations and Theses Collection (Open Access)

This present study investigated the effect of outcome interdependence on different types of deceptions – mutually beneficial and self-interested deception, in a negotiation context. 150 SMU students were recruited to engage in a negotiation task and were randomly assigned to either a high outcome interdependence condition where the monetary reward was awarded based on the points scored by the dyad or a low outcome interdependence condition where the monetary reward was awarded based on the points scored by the individual. The results showed that in a self-rated scale, dyads in the low outcome interdependence condition rated themselves to have engaged …

Business Cycles, Trend Elimination, And The Hp Filter, Peter C. B. Phillips, Sainan Jin

Research Collection School Of Economics

Trend elimination and business cycle estimation are analyzed by finite sample and asymptotic methods. An overview history is provided, operator theory is developed, limit theory as the sample size n → ∞ is derived, and filtered series properties are studied relative to smoothing parameter (λ) behavior. Simulations reveal that limit theory with λ =O(n4) delivers excellent approximations to the HP filter for common sample sizes but fails to remove stochastic trends, contrary to standard thinking in macroeconomics and thereby explaining ‘spurious cycle’ effects of the HP filter. The findings are related to the long run effects of the GFC.

Boosting: Why You Can Use The Hp Filter, Peter C. B. Phillips, Zhentao Shi

Research Collection School Of Economics

We propose a procedure of iterating the HP filter to produce a smarter smoothing device, called the boosted HP (bHP) filter, based on L2-boosting in machine learning. Limit theory shows that the bHP filter asymptotically recovers trend mechanisms that involve integrated processes, deterministic drifts, and structural breaks, covering the most common trends that appear in current modeling methodology. A stopping criterion automates the algorithm, giving a data-determined method for data-rich environments. The methodology is illustrated in simulations and with three real data examples that highlight the differences between simple HP filtering, the bHP filter, and an alternative autoregressive approach.

Fine-Grained And Controllably Redactable Blockchain With Harmful Data Forced Removal, Huiying Hou, Shidi Hao, Jiaming Yuan, Shengmin Xu, Yunlei Zhao

Research Collection School Of Computing and Information Systems

Notoriously, immutability is one of the most striking properties of blockchains. As the data contained in blockchains may be compelled to redact for personal and legal reasons, immutability needs to be skillfully broken. In most existing redactable blockchains, fine-grained redaction and effective deletion of harmful data are mutually exclusive. To close the gap, we propose a fine-grained and controllably redactable blockchain with harmful data forced removal. In the scheme, the originator of the transaction has fine-grained control over who can perform the redaction and which portions of the transaction can be redacted. The redaction transaction is performed after collecting enough …

Lethal, Viral, Global: The Role Of Mobile Media And The Growing International Scourge Of Fake News, Gordon Kuo Siong Tan, Sun Sun Lim, Roy Kheng

Research Collection College of Integrative Studies

The rising ubiquity of mobile-enabled devices has greatly accelerated the spread of online disinformation. Media production and dissemination capabilities are within easy reach of consumers, who may become key nodes in sharing fabricated information. Social media platforms’ advertisement-driven revenue models have encouraged the proliferation of viral and inflammatory content, where journalistic best practices are de-emphasized. Furthermore, opaque algorithms favor fake stories that elicit greater emotional responses from users. Increased deregulation has given mobile media companies considerable freedom over content moderation policies. Finally, emerging mobile technologies have enabled more sophisticated and richer forms of fabricated content to be circulated among a …

Effects Of Bin Proximity And Informational Prompts On Recycling And Contamination, Sonny Rosenthal, Noah Linder

Research Collection College of Integrative Studies

This between-subjects experiment manipulated the proximity of a waste bin relative to a recycling bin and the presence of information about why and how to rinse recyclables. After completing a yogurt taste test, 272 undergraduate students disposed of their plastic tasting cups in either a waste bin or a recycling bin. Binary logistic regression showed use of the recycling bin roughly tripled when the waste bin was made less convenient by moving it away from the tasting area (p R2 = 0.54). Univariate ANOVA showed the contamination level of recycled items was lower when an informational prompt indicated how clean …

Immigrant Families' Health-Related Information Behavior On Instant Messaging Platforms: Health-Related Information Exchange In Immigrant Family Groups On Instant Messaging Platforms, Lev Poretski, Taamannae Taabassum, Anthony Tang

Research Collection School Of Computing and Information Systems

For immigrant families, instant messaging family groups are a common platform for sharing and discussing health-related information. Immigrants often maintain contact with their family abroad and trust information in shared IM family groups more than the information from local authorities and sources. In this study, we aimed to understand health-related information behaviors of immigrant families in their IM family groups. Based on the interviews with 6 participants from immigrant families to Canada, we found that immigrant families’ discourse on IM platforms is motivated by love and care for other family members. The families used local and international sources of information, …