Lowering Barriers to Application Development With Cloud-Native Domain-Specific Functions
Thu 12 May 2022 04:15 - 04:20 at ICSE room 5-even hours - Programming Languages 1 Chair(s): Jean-Guy Schneider
Creating and maintaining a modern, heterogeneous set of client applications remains an obstacle for many businesses and individuals. While simple domain-specific graphical languages and libraries can empower a variety of users to create application behaviors and logic, using these languages to produce and maintain a set of heterogeneous client applications is a challenge. Primarily because each client typically requires the developers to both understand and embed the domain-specific logic. This is because application logic must be encoded to some extent in both the server and client sides.
In this paper, we propose an alternative approach, which allows the specification of application logic to reside solely on the cloud. We have built a system where reusable application components can be assembled on the cloud in different logical chains and the client is largely decoupled from this logic and is solely concerned with how data is displayed and gathered from users of the application. In this way, the chaining of requests and responses is done by the cloud and the client side has no knowledge of the application logic. This means that the experts in the domain can build these modular cloud components, arrange them in various logical chains, generate a simple user interface to test the application, and later leave it to client-side developers to customize the presentation and gathering of data types to and from the user.
An additional effect of our approach is that the client side developer is able to immediately see any changes they make, while executing the logic residing on the cloud. This further allows more novice programmers to perform these customizations, as they do not need to `get the full application working’ and are able to see the results of their code as they go, thereby lowering the obstacles to businesses and individuals to produce and maintain applications. Furthermore, this decoupling enables the quick generation and customization of a variety of application clients, ranging from web to mobile devices and personal assistants, while customizing one or more as needed.
Wed 11 MayDisplayed time zone: Eastern Time (US & Canada) change
11:00 - 12:00 | Autonomic Systems and Self-AdaptationSEIS - Software Engineering in Society / Technical Track at ICSE room 4-odd hours Chair(s): Henry Muccini University of L'Aquila, Italy | ||
11:00 5mTalk | Software Engineers’ Response to Public Crisis: Lessons Learnt from Spontaneously Building an Informative COVID-19 Dashboard SEIS - Software Engineering in Society Han Wang Monash University, Chao Wu Monash University, Chunyang Chen Monash University, Burak Turhan University of Oulu, Shiping Chen Data61 at CSIRO, Australia / UNSW, Australia, Jon Whittle CSIRO's Data61 and Monash University Pre-print Media Attached | ||
11:05 5mTalk | DRESS-ML: A Domain-specific Language for Modelling Exceptional Scenarios and Self-adaptive Behaviours for Drone-based Applications SEIS - Software Engineering in Society Lucas Vieira State University of Ceará, José Davi da Silva Pereira State University of Ceara, Brazil, Natália Aragão State University of Ceara, Brazil, Matheus Chagas State University of Ceará, Paulo Maia State University of Ceará Pre-print Media Attached | ||
11:10 5mTalk | Lowering Barriers to Application Development With Cloud-Native Domain-Specific Functions SEIS - Software Engineering in Society José Miguel Pérez-Álvarez NAVER LABS Europe, Adrian Mos NAVER LABS Europe, Benjamin V. Hanrahan Pennsylvania State University, Iyadunni J. Adenuga Pennsylvania State University Pre-print Media Attached | ||
11:15 5mTalk | Automated Assertion Generation via Information Retrieval and Its Integration with Deep Learning Technical Track Hao Yu Peking University, Yiling Lou Purdue University, Ke Sun , Dezhi Ran Peking University, Tao Xie Peking University, Dan Hao Peking University, Ying Li School of Software and Microelectronics, Peking University, Beijing, China, Ge Li Peking University, Qianxiang Wang Huawei Technologies Co. Ltd DOI Pre-print Media Attached | ||