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Pre-trained on extensive and diverse multi-modal datasets, 2D foundation models excel at addressing 2D tasks with little or no downstream supervision, owing to their robust representations. The emergence of 2D-to-3D distillation frameworks has ...

Mobile application (app) stores employ standardized mechanisms for rating hosted apps, typically in the form of free text reviews and numerical rating scales. App users use these mechanisms to express their opinions about their apps and discover apps ...

In this article, we report on our experience in using wireframing frameworks as an integral part of software engineering (SE) students’ capstone projects. We also survey students and industry professionals to gain insights into the benefits and drawbacks ...

The proliferation of mobile applications (app) over the past decade has imposed unprecedented challenges on end-users privacy. Apps constantly demand access to sensitive user information in exchange for more personalized services. These—mostly ...

Mobile application (app) reviews contain valuable information for app developers. A plethora of supervised and unsupervised techniques have been proposed in the literature to synthesize useful user feedback from app reviews. However, traditional ...

Modern application stores enable developers to classify their apps by choosing from a set of generic categories, or genres, such as health, games, and music. These categories are typically static—new categories do not necessarily emerge over time to ...

Sharing Economy apps, such as Uber, Airbnb, and TaskRabbit, have generated a substantial consumer interest over the past decade. The unique form of peer-to-peer business exchange these apps have enabled has been linked to significant levels of ...

Open Source Software (OSS) projects start with an initial vocabulary, often determined by the first generation of developers. This vocabulary, embedded in code identifier names and internal code comments, goes through multiple rounds of change, ...

Information Retrieval (IR) methods have been recently employed to provide automatic support for bug localization tasks. However, for an IR-based bug localization tool to be useful, it has to achieve adequate retrieval accuracy. Lower precision and ...

Traceability is the ability to relate di erent artifacts during the development and operation of a system to each other. It enables program comprehension, change impact analysis, and facilitates the cooperation of engineers from di erent disciplines. ...

Text mining techniques have been recently employed to classify and summarize user reviews on mobile application stores. However, due to the inherently diverse and unstructured nature of user-generated online textual data, text-based review mining ...

ContextSoftware systems are often shipped with defects. Whenever a bug is reported, developers use the information available in the associated report to locate source code fragments that need to be modified in order to fix the bug. However, as software ...

Topic modeling techniques have been recently applied to analyze and model source code. Such techniques exploit the textual content of source code to provide automated support for several basic software engineering activities. Despite these advances, ...

Twitter enables software developers to track users' reactions to newly released systems. Such information, often expressed in the form of raw emotions, can be leveraged to enable a more informed software release process. However, automatically capturing ...

Component-oriented programming languages (COPLs) bridge the gap between architecture description languages (ADLs) and general purpose programming languages. COPLs emphasize designing software systems out of reusable components which are connected by ...

Twitter has created an unprecedented opportunity for software developers to monitor the opinions of large populations of end-users of their software. However, automatically classifying useful tweets is not a trivial task. Challenges stem from the scale ...

Video coding tutorials enable expert and novice programmers to visually observe real developers write, debug, and execute code. Previous research in this domain has focused on helping programmers find relevant content in coding tutorial videos as well ...

In this paper, we describe a novel unsupervised approach for detecting, classifying, and tracing non-functional software requirements (NFRs). The proposed approach exploits the textual semantics of software functional requirements (FRs) to infer ...

Contemporary software engineering tools exploit semantic relations between individual code terms to aid in code analysis and retrieval tasks. Such tools employ word similarity methods, often used in natural language processing (nlp), to analyze the ...

Requirements engineering (RE), framed as a creative problem solving process, plays a key role in innovating more useful and novel requirements and improving a software system's sustainability. Existing approaches, such as creativity workshops and ...