Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Singapore Management University

Discipline
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 541 - 570 of 1692

Full-Text Articles in Entire DC Network

Picaso: Enhancing Api Recommendations With Relevant Stack Overflow Posts, Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo May 2023

Picaso: Enhancing Api Recommendations With Relevant Stack Overflow Posts, Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo

Research Collection School Of Computing and Information Systems

While having options could be liberating, too many options could lead to the sub-optimal solution being chosen. This is not an exception in the software engineering domain. Nowadays, API has become imperative in making software developers' life easier. APIs help developers implement a function faster and more efficiently. However, given the large number of open-source libraries to choose from, choosing the right APIs is not a simple task. Previous studies on API recommendation leverage natural language (query) to identify which API would be suitable for the given task. However, these studies only consider one source of input, i.e., GitHub or …

Go to article

She Elicits Requirements And He Tests: Software Engineering Gender Bias In Large Language Models, Christoph Treude, Hideaki Hata May 2023

She Elicits Requirements And He Tests: Software Engineering Gender Bias In Large Language Models, Christoph Treude, Hideaki Hata

Research Collection School Of Computing and Information Systems

Implicit gender bias in software development is a well-documented issue, such as the association of technical roles with men. To address this bias, it is important to understand it in more detail. This study uses data mining techniques to investigate the extent to which 56 tasks related to software development, such as assigning GitHub issues and testing, are affected by implicit gender bias embedded in large language models. We systematically translated each task from English into a genderless language and back, and investigated the pronouns associated with each task. Based on translating each task 100 times in different permutations, we …

Go to article

Applying Information Theory To Software Evolution, Adriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner May 2023

Applying Information Theory To Software Evolution, Adriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner

Research Collection School Of Computing and Information Systems

Although information theory has found success in disciplines, the literature on its applications to software evolution is limit. We are still missing artifacts that leverage the data and tooling available to measure how the information content of a project can be a proxy for its complexity. In this work, we explore two definitions of entropy, one structural and one textual, and apply it to the historical progression of the commit history of 25 open source projects. We produce evidence that they generally are highly correlated. We also observed that they display weak and unstable correlations with other complexity metrics. Our …

Go to article

Lpt: Long-Tailed Prompt Tuning For Image Classification, Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo May 2023

Lpt: Long-Tailed Prompt Tuning For Image Classification, Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo

Research Collection School Of Computing and Information Systems

For long-tailed classification tasks, most works often pretrain a big model on a large-scale (unlabeled) dataset, and then fine-tune the whole pretrained model for adapting to long-tailed data. Though promising, fine-tuning the whole pretrained model tends to suffer from high cost in computation and deployment of different models for different tasks, as well as weakened generalization capability for overfitting to certain features of long-tailed data. To alleviate these issues, we propose an effective Long-tailed Prompt Tuning (LPT) method for long-tailed classification tasks. LPT introduces several trainable prompts into a frozen pretrained model to adapt it to long-tailed data. For better …

Go to article

Two Sides Of The Same Coin: Exploiting The Impact Of Identifiers In Neural Code Comprehension, Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu May 2023

Two Sides Of The Same Coin: Exploiting The Impact Of Identifiers In Neural Code Comprehension, Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu

Research Collection School Of Computing and Information Systems

Previous studies have demonstrated that neural code comprehension models are vulnerable to identifier naming. By renaming as few as one identifier in the source code, the models would output completely irrelevant results, indicating that identifiers can be misleading for model prediction. However, identifiers are not completely detrimental to code comprehension, since the semantics of identifier names can be related to the program semantics. Well exploiting the two opposite impacts of identifiers is essential for enhancing the robustness and accuracy of neural code comprehension, and still remains under-explored. In this work, we propose to model the impact of identifiers from a …

Go to article

Supporting Novices Author Audio Descriptions Via Automatic Feedback, Rosiana Natalie, Joshua Shi-Hao Tseng, Hernisa Kacorri, Kotaro Hara Apr 2023

Supporting Novices Author Audio Descriptions Via Automatic Feedback, Rosiana Natalie, Joshua Shi-Hao Tseng, Hernisa Kacorri, Kotaro Hara

Research Collection School Of Computing and Information Systems

Audio descriptions (AD) make videos accessible to those who cannot see them. But many videos lack AD and remain inaccessible as traditional approaches involve expensive professional production. We aim to lower production costs by involving novices in this process. We present an AD authoring system that supports novices to write scene descriptions (SD)—textual descriptions of video scenes—and convert them into AD via text-to-speech. The system combines video scene recognition and natural language processing to review novice-written SD and feeds back what to mention automatically. To assess the effectiveness of this automatic feedback in supporting novices, we recruited 60 participants to …

Go to article

Social Media: Enabling Touchpoints Beyond Advertising, Kapil R. Tuli, Sheetal Bhardwaj Mar 2023

Social Media: Enabling Touchpoints Beyond Advertising, Kapil R. Tuli, Sheetal Bhardwaj

Asian Management Insights

An effective customer service platform and a strategic communication channel.

Go to article

Consumers’ Preferences For Ethical Entertainment Consumption: Conceptualization, Development, And Validation Of A Scale, Avirupa Basu, Tamas Makany, Pratap Chandra Mandal, Ashutosh Bishnu Murti Mar 2023

Consumers’ Preferences For Ethical Entertainment Consumption: Conceptualization, Development, And Validation Of A Scale, Avirupa Basu, Tamas Makany, Pratap Chandra Mandal, Ashutosh Bishnu Murti

Research Collection Lee Kong Chian School Of Business

Our study describes the conceptualization, development, and validation of a reliable scale to measure the Consumers’ Preferences for Ethical Entertainment Consumption (CPEEC) in the context of OTT platforms. Past literature has addressed Ethical Consumption in various contexts that hold significant importance among consumers. However, there is limited literature on the Ethical Consumption in the domain of OTT entertainment, which is a new and burgeoning field of literature. Conceptualizing and developing a measurement scale for CPEEC will help measure the ethicality of entertainment like films, web shows and reality shows. The CPEEC scale is developed and validated by performing 33 in-depth …

Go to article

Continuity, History, And Identity: Why Bongbong Marcos Won The 2022 Philippine Presidential Election, Dean C. Dulay, Allen Hicken, Anil Menon, Ronald Holmes Mar 2023

Continuity, History, And Identity: Why Bongbong Marcos Won The 2022 Philippine Presidential Election, Dean C. Dulay, Allen Hicken, Anil Menon, Ronald Holmes

Research Collection School of Social Sciences

In May of 2022, Bongbong Marcos won a commanding 59 percent of the vote to become president of the Philippines. His victory was, on some level, shocking to scholars and analysts of Philippine politics. As a result, a plethora of different theories have been proposed, in an attempt to explain why Marcos won. In this paper, we use nationally representative survey data to explore which factors predict (and do not predict) voting intention for Marcos. We find that, a) support for former President Rodrigo Duterte, b) positive perceptions of the late President Ferdinand Marcos and martial law, and c) ethnic …

Go to article

Exploring And Repairing Gender Fairness Violations In Word Embedding-Based Sentiment Analysis Model Through Adversarial Patches, Lin Sze Khoo, Jia Qi Bay, Ming Lee Kimberly Yap, Mei Kuan Lim, Chun Yong Chong, Zhou Yang, David Lo Mar 2023

Exploring And Repairing Gender Fairness Violations In Word Embedding-Based Sentiment Analysis Model Through Adversarial Patches, Lin Sze Khoo, Jia Qi Bay, Ming Lee Kimberly Yap, Mei Kuan Lim, Chun Yong Chong, Zhou Yang, David Lo

Research Collection School Of Computing and Information Systems

With the advancement of sentiment analysis (SA) models and their incorporation into our daily lives, fairness testing on these models is crucial, since unfair decisions can cause discrimination to a large population. Nevertheless, some challenges in fairness testing include the unknown oracle, the difficulty in generating suitable test inputs, and the lack of a reliable way of fixing the issues. To fill in these gaps, BiasRV, a tool based on metamorphic testing (MT), was introduced and succeeded in uncovering fairness issues in a transformer-based model. However, the extent of unfairness in other SA models has not been thoroughly investigated. Our …

Go to article

Specification-Based Autonomous Driving System Testing, Yuan Zhou, Yang Sun, Yun Tang, Yuqi Chen, Jun Sun, Christopher M. Poskitt, Yang Liu, Zijiang Yang Mar 2023

Specification-Based Autonomous Driving System Testing, Yuan Zhou, Yang Sun, Yun Tang, Yuqi Chen, Jun Sun, Christopher M. Poskitt, Yang Liu, Zijiang Yang

Research Collection School Of Computing and Information Systems

Autonomous vehicle (AV) systems must be comprehensively tested and evaluated before they can be deployed. High-fidelity simulators such as CARLA or LGSVL allow this to be done safely in very realistic and highly customizable environments. Existing testing approaches, however, fail to test simulated AVs systematically, as they focus on specific scenarios and oracles (e.g., lane following scenario with the "no collision" requirement) and lack any coverage criteria measures. In this paper, we propose AVUnit, a framework for systematically testing AV systems against customizable correctness specifications. Designed modularly to support different simulators, AVUnit consists of two new languages for specifying dynamic …

Go to article

Concept-Oriented Transformers For Visual Sentiment Analysis, Quoc Tuan Truong, Hady Wirawan Lauw Mar 2023

Concept-Oriented Transformers For Visual Sentiment Analysis, Quoc Tuan Truong, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

In the richly multimedia Web, detecting sentiment signals expressed in images would support multiple applications, e.g., measuring customer satisfaction from online reviews, analyzing trends and opinions from social media. Given an image, visual sentiment analysis aims at recognizing positive or negative sentiment, and occasionally neutral sentiment as well. A nascent yet promising direction is Transformer-based models applied to image data, whereby Vision Transformer (ViT) establishes remarkable performance on largescale vision benchmarks. In addition to investigating the fitness of ViT for visual sentiment analysis, we further incorporate concept orientation into the self-attention mechanism, which is the core component of Transformer. The …

Go to article

Proactive Conversational Agents, Lizi Liao, Grace Hui Yang, Chirag Shah Mar 2023

Proactive Conversational Agents, Lizi Liao, Grace Hui Yang, Chirag Shah

Research Collection School Of Computing and Information Systems

Conversational agents, or commonly known as dialogue systems, have gained escalating popularity in recent years. Their widespread applications support conversational interactions with users and accomplishing various tasks as personal assistants. However, one key weakness in existing conversational agents is that they only learn to passively answer user queries via training on pre-collected and manually-labeled data. Such passiveness makes the interaction modeling and system-building process relatively easier, but it largely hinders the possibility of being human-like hence lowering the user engagement level. In this tutorial, we introduce and discuss methods to equip conversational agents with the ability to interact with end …

Go to article

Multi-Modal Api Recommendation, Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo Mar 2023

Multi-Modal Api Recommendation, Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo

Research Collection School Of Computing and Information Systems

Too many options can be a problem, which is the case for Application Programming Interfaces (APIs). As there are many such APIs, with many more being introduced periodically, it raises the problem of choosing which API to be recommended. Furthermore, numerous APIs are commonly used together with other complementary third-party APIs. It can be challenging for developers to understand how to use each API and to remember all the complementary APIs for the API they want to use. Therefore, an accurate API recommendation approach can improve developers' efficiency in implementing certain functionality. Several approaches have been developed to automatically recommend …

Go to article

Constitutional Equality And Executive Action: A Comparative Perspective To The Comparator Problem, Kenny Chng Mar 2023

Constitutional Equality And Executive Action: A Comparative Perspective To The Comparator Problem, Kenny Chng

Research Collection Yong Pung How School Of Law

A general right to equality is a common feature of written constitutions around the world. Interesting questions arise when one seeks to apply such rights to discrete executive acts. The subject of such acts has necessarily been singled out from a multitude of possibilities for the purposes of the act. To determine whether a differentiation has occurred such that like cases have not been treated alike, to what or whom should this subject be compared? The question of how one selects the proper comparator becomes especially significant when one notes that whether the equal protection guarantee is triggered at all …

Go to article

Legal Dispositionism And Artificially-Intelligent Attributions, Jerrold Soh Feb 2023

Legal Dispositionism And Artificially-Intelligent Attributions, Jerrold Soh

Research Collection Yong Pung How School Of Law

It is conventionally argued that because an artificially-intelligent (AI) system acts autonomously, its makers cannot easily be held liable should the system's actions harm. Since the system cannot be liable on its own account either, existing laws expose victims to accountability gaps and need to be reformed. Recent legal instruments have nonetheless established obligations against AI developers and providers. Drawing on attribution theory, this paper examines how these seemingly opposing positions are shaped by the ways in which AI systems are conceptualised. Specifically, folk dispositionism underpins conventional legal discourse on AI liability, personality, publications, and inventions and leads us towards …

Go to article

Contrastive Learning Approach To Word-In-Context Task For Low-Resource Languages, Pei-Chi Lo, Yang-Yin Lee, Hsien-Hao Chen, Agus Trisnajaya Kwee, Ee-Peng Lim Feb 2023

Contrastive Learning Approach To Word-In-Context Task For Low-Resource Languages, Pei-Chi Lo, Yang-Yin Lee, Hsien-Hao Chen, Agus Trisnajaya Kwee, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Word in context (WiC) task aims to determine whether a target word’s occurrences in two sentences share the same sense. In this paper, we propose a Contrastive Learning WiC (CLWiC) framework to improve the learning of sentence/word representations and classification of target word senses in the sentence pair when performing WiC on lowresource languages. In representation learning, CLWiC trains a pre-trained language model’s ability to cope with lowresource languages using both unsupervised and supervised contrastive learning. The WiC classifier learning further finetunes the language model with WiC classification loss under two classifier architecture options, SGBERT and WiSBERT, which use single-encoder …

Go to article

The Persistence Of Ethnopopulist Support: The Case Of Rodrigo Duterte's Philippines, Dean C. Dulay, Allen Hicken, Ronald Holmes Jan 2023

The Persistence Of Ethnopopulist Support: The Case Of Rodrigo Duterte's Philippines, Dean C. Dulay, Allen Hicken, Ronald Holmes

Research Collection School of Social Sciences

The past few years have seen an emergence of populist leaders around the world, who have not only accrued but also maintained support despite rampant criticism, governance failures, and the ongoing COVID pandemic. The Philippines' Rodrigo Duterte is the best illustration of this trend, with approval ratings rarely dipping below 80 percent. What explains his high levels of robust public support? We argue that Duterte is an ethnopopulist who uses ethnic appeals in combination with insider vs. outsider rhetoric to garner and maintain public support. Moreover, we argue that ethnic affiliation is a main driver of support for Duterte, and …

Go to article

Deconstruction Of A Dialogue: Creative Interpretation In Comparative Philosophy, Steven Burik Jan 2023

Deconstruction Of A Dialogue: Creative Interpretation In Comparative Philosophy, Steven Burik

Research Collection School of Social Sciences

It is common knowledge that Martin Heidegger’s attempts at engaging non-Western philosophy are very much a construct of his own making. This article in no way seeks to disagree with those observations, but argues two things: first, that Heidegger’s “dialogue” with his two main other sources of inspiration, the ancient Greek thinkers and the German poets, is not different in kind or in principle from his engagement with East Asia. One can of course quite easily argue that Heidegger’s main interest was the ancient Greek thinkers, and then the poets, and only lastly Asia. But this hierarchy in preference does …

Go to article

‘We Are People Of The Islands’: Translocal Belonging Among The Ethnic Chinese Of The Riau Islands, Charlotte Setijadi Jan 2023

‘We Are People Of The Islands’: Translocal Belonging Among The Ethnic Chinese Of The Riau Islands, Charlotte Setijadi

Research Collection School of Social Sciences

The Riau Islands Chinese are an anomaly in the study of Chinese Indonesians. For one, while many of their ethnic Chinese counterparts in other parts of Indonesia can no longer speak Chinese due to the New Order regime’s assimilation policy, Chinese languages are alive and well in the Riau Islands. Based on ethnographic fieldwork conducted in 2017–2018, this paper seeks to understand the Riau Islands Chinese’s cultural resilience and sense of belonging as a borderland ethnic minority. I argue that long-standing inter-Island and cross-border mobilities and cultural flows with Singapore have been central to the maintenance of Riau Islands Chinese …

Go to article

Understanding Human-Centred Artificial Intelligence In The Banking Sector, Krishnaraj Arul Obuchettiar, Alan @ Ali Madjelisi Megargel Jan 2023

Understanding Human-Centred Artificial Intelligence In The Banking Sector, Krishnaraj Arul Obuchettiar, Alan @ Ali Madjelisi Megargel

Research Collection Lee Kong Chian School Of Business

The advent of smart digital devices and social media has shaped how consumers interact and transact with their financial institutions. Consumers increasingly want hyperpersonalised interactions that are more frequent and proactive, while financial institutions have a growing need to cater to consumers’ new demands. Financial institutions, such as banks, continuously adapt to the latest technologies to keep pace with evolving customer behaviours, needs, and experiences. One such emerging technology is artificial intelligence (AI). Many organisations realise the potential of AI; however, a human-centred AI system must be capable of understanding human characteristics and making decisions like humans. This paper presents …

Go to article

Algorithm's Cradle: Commemorating Al-Khwarizmi In The Soviet History Of Mathematics And Cold War Computer Science, Ksenia Tatarchenko Jan 2023

Algorithm's Cradle: Commemorating Al-Khwarizmi In The Soviet History Of Mathematics And Cold War Computer Science, Ksenia Tatarchenko

Research Collection College of Integrative Studies

This chapter investigates the origin narratives and commemoration practices that came hand in hand with the growing cultural authority of the algorithm after World War II, culminating in celebrations in honor of the 1,200th anniversary of the medieval scholar Abu MODIFIER LETTER LEFT HALF RINGAdallah Muhammad Ibn Musa al-Khwarizmi. I first show how al-Khwarizmi's legacy was claimed by Soviet historians of mathematics aiming to construct a history inspired by dialectical materialism, a goal that eventually led to arguments about the distinct, algorithmic character of mathematics in the East. Next, I study how these ideas were appropriated by the international community …

Go to article

Seqadver: Automatic Payload Construction And Injection In Sequence-Based Android Adversarial Attack, Fei Zhang, Ruitao Feng, Xiaofei Xie, Xiaohong Li, Lianshuan Shi Jan 2023

Seqadver: Automatic Payload Construction And Injection In Sequence-Based Android Adversarial Attack, Fei Zhang, Ruitao Feng, Xiaofei Xie, Xiaohong Li, Lianshuan Shi

Research Collection School Of Computing and Information Systems

Machine learning has achieved a great success in the field of Android malware detection. In order to avoid being caught by these ML-based Android malware detection, malware authors are inclined to initiate adversarial sample attacks by tampering with mobile applications. Although machine learning has high capability, it lacks robustness against adversarial attacks. Currently, many of the adversarial attacking tools not only inject dead code into target applications, which can never be executed, but also require the injection of many benign features into a malicious APK. This can be easily noticeable by program analysis techniques. In this paper, we propose SeqAdver, …

Go to article

Champions For Social Good: How Can We Discover Social Sentiment And Attitude-Driven Patterns In Prosocial Communication?, Raghava Rao Mukkamala, Robert J. Kauffman, Helle Zinner Henriksen Jan 2023

Champions For Social Good: How Can We Discover Social Sentiment And Attitude-Driven Patterns In Prosocial Communication?, Raghava Rao Mukkamala, Robert J. Kauffman, Helle Zinner Henriksen

Research Collection School Of Computing and Information Systems

The UN High Commissioner on Refugees (UNHCR) is pursuing a social media strategy to inform people about displaced populations and refugee emergencies. It is actively engaging public figures to increase awareness through its prosocial communications and improve social informedness and support for policy changes in its services. We studied the Twitter communications of UNHCR social media champions and investigated their role as high-profile influencers. In this study, we offer a design science research and data analytics framework and propositions based on the social informedness theory we propose in this paper to assess communication about UNHCR’s mission. Two variables—refugee-emergency and champion …

Go to article

Information Sharing Between Mutual Funds And Auditors, Ole‐Kristian Hope, Pingui Rao, Yanping Xu, Heng Yue Jan 2023

Information Sharing Between Mutual Funds And Auditors, Ole‐Kristian Hope, Pingui Rao, Yanping Xu, Heng Yue

Research Collection School Of Accountancy

This paper examines whether there is information sharing between mutual funds and their auditors about the auditors’ other listed firm clients. Using data from the Chinese market, we find that mutual funds earn higher profits from trading in firms that share the same auditors. The effects are more pronounced when firms have a more opaque information environment and when the audit partners for the fund and the partners for the listed firm share school ties. The evidence is consistent with information flowing from auditors to mutual funds, providing mutual funds with an information advantage in firms that share the same …

Go to article

Bilingual Interactional Contexts Predict Executive Functions In Older Adults, Hwajin Yang, Yue Qi Germaine Tng, Gilaine Rui Ng, Wee Qin Ng Jan 2023

Bilingual Interactional Contexts Predict Executive Functions In Older Adults, Hwajin Yang, Yue Qi Germaine Tng, Gilaine Rui Ng, Wee Qin Ng

Research Collection School of Social Sciences

Drawing on the adaptive control hypothesis, we examined whether older adults' bilingual interactional contexts of conversational exchanges would predict important indices of executive functions (EF). We assessed participants' engagement in each bilingual interactional context - single-language, dual-language, and dense code-switching - and their performance on a series of nonverbal EF measures. Sixty-nine healthy older adults (M-age = 70.39 years; ages 60-93) were recruited from local community centers. We found that the dense code-switching context was associated with enhanced overall EF, but not individual facets of EF (inhibitory control, shifting, and updating). These findings held true when we controlled for a …

Go to article

The Demands Of Displacement, The Micro-Aggressions Of Multiculturalism: Performing An Idea Of "Indianness" In Singapore, Orlando Woods, Lily Kong Jan 2023

The Demands Of Displacement, The Micro-Aggressions Of Multiculturalism: Performing An Idea Of "Indianness" In Singapore, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

This paper explores the ways in which state-defined discourses of multiculturalism can unintentionally create a framework through which micro-aggressions are enacted against those interpreted as "other". These definitions cascade down from the state to majority and then minority ethno-national groups, who leverage positions of relative dominance to establish the terms of acceptance and integration into society. By negotiating these terms, ethnicity becomes a performative construct through which difference is asserted and reified. We illustrate these ideas through an empirical analysis of Singapore's minority Indian community, and how Singaporean Indians perform an idea of "Indianness" in response to their Singaporean Chinese …

Go to article

Natural Language Processing In The Legal Domain, Daniel Martin Katz, Dirk Hartung, Lauritz Gerlach, Abhik Jana, Michael J. Ii Bommarito Jan 2023

Natural Language Processing In The Legal Domain, Daniel Martin Katz, Dirk Hartung, Lauritz Gerlach, Abhik Jana, Michael J. Ii Bommarito

Research Collection Yong Pung How School Of Law

In this paper, we summarize the current state of the field of NLP and Law with a specific focus on recent technical and substantive developments. To support our analysis, we construct and analyze a corpus of more than six hundred NLP and Law related papers published over the past decade. Our analysis highlights several major trends. Namely, we document an increasing number of papers written, tasks undertaken, and languages covered over the course of the past decade. We observe an increase in the sophistication of the methods which researchers deployed in this applied context. Slowly but surely, Legal NLP is …

Go to article

Just-In-Time Obsolete Comment Detection And Update, Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shangping Li Jan 2023

Just-In-Time Obsolete Comment Detection And Update, Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shangping Li

Research Collection School Of Computing and Information Systems

Comments are valuable resources for the development, comprehension and maintenance of software. However, while changing code, developers sometimes neglect the evolution of the corresponding comments, resulting in obsolete comments. Such obsolete comments can mislead developers and introduce bugs in the future, and are therefore detrimental. We notice that by detecting and updating obsolete comments in time with code changes, obsolete comments can be effectively reduced and even avoided. We refer to this task as Just-In-Time (JIT) Obsolete Comment Detection and Update. In this work, we propose a two-stage framework named CUP2 (Two-stage Comment UPdater) to automate this task. CUP2 consists …

Go to article

Seven Pillars For The Future Of Artificial Intelligence, Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho Jan 2023

Seven Pillars For The Future Of Artificial Intelligence, Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho

Research Collection School Of Computing and Information Systems

In recent years, AI research has showcased tremendous potential to impact positively humanity and society. Although AI frequently outperforms humans in tasks related to classification and pattern recognition, it continues to face challenges when dealing with complex tasks such as intuitive decision-making, sense disambiguation, sarcasm detection, and narrative understanding, as these require advanced kinds of reasoning, e.g., commonsense reasoning and causal reasoning, which have not been emulated satisfactorily yet. To address these shortcomings, we propose seven pillars that we believe represent the key hallmark features for the future of AI, namely: Multidisciplinarity, Task Decomposition, Parallel Analogy, Symbol Grounding, Similarity Measure, …

Go to article

First Prev Next Last