Syntax-From-Doc

2020 ◽  
Author(s):  
C. Edward Porter
Keyword(s):  
Programming Language ◽  
Hard Problem ◽  
Context Aware ◽  
Markup Languages ◽  
Continuous Integration ◽  
Rest Service ◽  
Continuous Delivery ◽  
Code Completion ◽  
Single Sourcing

Producing syntax highlighting, code completion, and context-aware code documentation in IDEs is hard. It is especially hard at SAS where the age and complexity of the SAS programming language begets quirks and edge cases. To support the features expected in modern IDEs, SAS has historically relied on syntax information produced in an unscalable, opaque manual process. This article presents a case study of the multi-year project to replace this legacy process with a "syntax-from-doc" REST service that stores and serves syntax information as JSON objects that are extracted from SAS XML documentation. The goal of the project is to produce a scalable, continually updated single-sourcing process by which all SAS syntax information can be made uniform and available across our myriad products and services. Though not without bumps and bruises to show for the stumbles along the way, this project serves as an interesting example of leveraging modern continuous integration/continuous delivery tooling, multiple markup languages, and a diverse technology stack to solve a hard problem.

scholarly journals Towards Regulatory-Compliant MLOps: Orazivio’s Journey from a Machine Learning Experiment to a Deployed Certified Medical Product

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Tuomas Granlund ◽  
Vlad Stirbu ◽  
Tommi Mikkonen
Keyword(s):  
Machine Learning ◽  
Joint Replacement ◽  
Medical Product ◽  
Medical Software ◽  
Continuous Delivery ◽  
Development Approach ◽  
Responding To Change ◽  
Agile Software ◽  
Engineering Practices

AbstractAgile software development embraces change and manifests working software over comprehensive documentation and responding to change over following a plan. The ability to continuously release software has enabled a development approach where experimental features are put to use, and, if they stand the test of real use, they remain in production. Examples of such features include machine learning (ML) models, which are usually pre-trained, but can still evolve in production. However, many domains require more plan-driven approach to avoid hazard to environment and humans, and to mitigate risks in the process. In this paper, we start by presenting continuous software engineering practices in a regulated context, and then apply the results to the emerging practice of MLOps, or continuous delivery of ML features. Furthermore, as a practical contribution, we present a case study regarding Oravizio, first CE-certified medical software for assessing the risks of joint replacement surgeries. Towards the end of the paper, we also reflect the Oravizio experiences to MLOps in regulatory context.

scholarly journals Context-Aware Adaptation of Component-Based Systems: An Active Repository Approach

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Sindolfo Miranda Filho ◽  
Julio Melo ◽  
Luiz Eduardo Leite ◽  
Guido Lemos
Keyword(s):  
Context Aware ◽  
Current Configuration ◽  
Fuzzy Logic Algorithm ◽  
Running System ◽  
Component Based Software Engineering ◽  
Context Aware System ◽  
The Given ◽  
To Receive ◽  
Component Repository

Context-aware systems are able to monitor and automatically adapt their operation accordingly to the execution context in which they are introduced. Component-based software engineering (CBSE) focuses on the development and reuse of self-contained software assets in order to achieve better productivity and quality. In order to store and retrieve components, CBSE employs component repository systems to provide components to the system developers. This paper presents an active component repository that is able to receive the current configuration from the context-aware system and compute the components and the new architecture that better fit the given context. Since the repository has a wide knowledge of available components, it can better decide which configuration is more suitable to the running system. The repository applies Fuzzy logic algorithm to evaluate the adequacy level of the components and GRASP algorithm to mount the new system architecture. In order to verify the feasibility of our approach, we use a digital TV middleware case study to achieve experimental results.

AUTOMATIC RESULT VERIFICATION BY COMPLETE RUN-TIME CHECKING OF COMPUTATIONS

2001 ◽  
Vol 12 (01) ◽  
pp. 97-124 ◽  
Author(s):  
EDGAR F. A. LEDERER ◽  
ROMEO A. DUMITRESCU
Keyword(s):  
Programming Language ◽  
Error Detection ◽  
Program Execution ◽  
Good Efficiency ◽  
Result Verification ◽  
Coordination Model ◽  
Functional Specification ◽  
Time Result ◽  
Run Time

Two-Stage Programming (2SP) is an experimental programming language, the first implementation of the Specification-Consistent Coordination Model (SCCM). The SCCM proposes a new, mixed-paradigm (functional/imperative) approach to developing reliable programs based on complete run-time checking of computations with respect to a given specification. A 2SP program consists of a functional specification and an imperative coordination tightly connected to the specification. The coordination maps the specification to an imperative and possibly parallel/distributed program. Normal termination of a 2SP program execution implies the correctness of the computed results with respect to the specification, for that execution. We present the basic feautures of the SCCM/2SP, a new message-spassing system of 2SP with integrated run-time checking, and a larger case study. We show that 2SP provides: functional specifications, specification-consistent imperative coordinations, automatic run-time result verification and error detection, enhanced debugging support, and good efficiency.

Heavyweight extension to the UML class diagram metamodel for modeling context aware systems in ubiquitous computing

2017 ◽  
Vol 13 (3) ◽  
pp. 238-251 ◽  
Author(s):  
Haider Boudjemline ◽  
Mohamed Touahria ◽  
Abdelhak Boubetra ◽  
Hamza Kaabeche
Keyword(s):  
Fundamental Problem ◽  
Unified Modeling Language ◽  
Class Diagram ◽  
Context Aware ◽  
User Interactions ◽  
Content Type ◽  
Unified Modeling ◽  
Development Processes ◽  
Uml Class Diagram

Purpose The development of context-aware applications in ubiquitous environments depends not only on the user interactions but also on several context parameters. The handling of these parameters is a fundamental problem in these systems. The key purpose of this work is to enrich the unified modeling language (UML) class diagram with new constructs to provide a universal model capable of coping with the context-awareness concerns. Design/methodology/approach The authors provide a review of existing context handling approaches. Afterward, they relied on the UML extensibility mechanisms to propose a heavyweight extension for the UML class diagram. This generic approach allows describing the different context parameters since the modeling phase. Findings Existing solutions for context handling apply the contextual constraints on finished applications or tend to be dependent on a specific development process. This paper presents a solution based on UML, which allows dealing with context since the modeling phase, and independently of development processes. This proposal is implemented as an eclipse editor and illustrated through a case study in the healthcare field. Originality/value This paper addresses the problem of context handling, and it presents a review of the foremost existing solutions. The paper also presents a heavyweight extension for the UML class diagram, which consists in enriching it with additional constructs, capable of monitoring how applications are linked to context parameters and how the values of these parameters may affect the application behavior.

The Importance of Programming Paradigms to Manufacturing Engineering Graduates: A Case Study from International Islamic University Malaysia Graduates

2013 ◽  
Vol 465-466 ◽  
pp. 387-394
Author(s):  
Muhammad Ashraf Fauri Fauzi ◽  
Daeng Ahmad Zuhri Zuhud ◽  
Hafiz Husin
Keyword(s):  
Programming Language ◽  
Online Survey ◽  
Public Universities ◽  
Modern World ◽  
Intermediate Scale ◽  
Programming Paradigm ◽  
Higher Institution ◽  
Programming Paradigms ◽  
Selection Of

Digital computers that automate manufacturing process are an important aspect for any manufacturing engineers in the modern world. Selection of the programming paradigm (PP), as well as the programming language (PL) that supports it, is crucial to ensure the correct ideas are being used to automate the solution of the problem. In current Malaysian Higher institution practices, various PPs and PLs courses are offered to current undergraduate manufacturing majors. An online survey was deployed to experienced manufacturing engineers from various manufacturing specializations in the industry. Graduates from one of Malaysias public universities, International Islamic University Malaysia (IIUM) have been chosen for this particular study. From the survey, it has been found that almost 80% of the participants agreed that PPs are important for manufacturing graduates. It was found out that 90% of the participants were from intermediate (scale of 3) until poor (scale of 1) to express their ability to explain PPs if asked. Only about 10% are able to explain on PPs (scale of 4 and 5). The study concluded that majority of the manufacturing graduates from IIUM agreed that PP is an important subject to be taught in university. However, it was found the majority of the manufacturing graduates lack the knowledge and understanding of PPs and general PLs.

A Context-Aware Information Model for Elderly Homecare Services in a Smart Home

2009 ◽  
Author(s):  
Feng Zhou ◽  
Jianxin Roger Jiao ◽  
Songlin Chen ◽  
Daqing Zhang
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Rough Set Theory ◽  
Research Problem ◽  
Information Model ◽  
Context Aware ◽  
Sensor Platform ◽  
Smart Home Environment ◽  
Manual Assistance

One of the critical situations facing the society across the globe is the problem of elderly homecare services (EHS) due to the aggravation of the society coupled with diseases and limited social resources. This problem has been typically dealt with by manual assistance from caregivers and/or family members. The emerging Ambience Intelligence (AmI) technology suggests itself to be of great potential for EHS applications, owing to its strength in constructing a pervasive computing environment that is sensitive and responsive to the presence of human users. The key challenge of AmI implementation lies in context awareness, namely how to align with the specific decision making scenarios of particular EHS applications. This paper proposes a context-aware information model in a smart home to tackle the EHS problem. Mainly, rough set theory is applied to construct user activity models for recognizing various activities of daily living (ADLs) based on the sensor platform constructed in a smart home environment. Subsequently, issues of case comprehension and homecare services are also discussed. A case study in the smart home environment is presented. Initial findings from the case study suggest the importance of the research problem, as well as the feasibility and potential of the proposed framework.

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