Opening

Makoto Nonaka，Toyo University，Japan

発表資料

The Trend of China's Software Industry Development
Yang Genxing

East China University of Science and Technology, China

Abstract:

The Trend of China's Software Industry Development
(1) General Situation of Software Industry Development in China and Shanghai in 2018
(2) Key Areas of Software Industry Development in China
(3) Development of Software Engineering and Software Quality Standards
(4) Training of Software Talents with High Skills
(5) Opportunities and Challenges of Software Industry

Suggestion of Testing Method for Industrial Level Cyber-Physical System
Sunil Chon

ThinkforBL , Korea

発表資料

Abstract:

As CPS becomes important, a new testing environment is needed. Because CPS is affected by the external environment, it is important to actually reproduce and test the external environment. CPS's new testing environment requires resolution of the following constraints:

1. (Diversity) It is difficult to create constraints on various external environments (natural environment, temperature, humidity, etc.).
2. (Safety) Actual test environment such as explosion detection, fire detection, accident detection is dangerous.
3. (Efficiency) It takes too much time. In this presentation, we introduce CPS testing method in a virtual test environment that solves the above three constraints, focusing on cases.

Break

Consideration for SW quality Factor in the era of industry 4.0
（Focusing on CPS operational environment）
Yong Gyu Kim

Apexsoft , Korea

Abstract:

- Sharing the factors to be considered and the experience of applying quality verification method to secure the quality of the SW system in the industrial field adopting the CPS concept in the era of the fourth industrial revolution centered on artificial intelligence technology.)
- Explanation of the available reference architectures according to the case studies and analysis based on experience with CPS application systems or similar systems in areas such as SCADA and ICS.
- Introduction of risk factors such as potential obstacles and performance degradation when applying the latest technology, and examples of ways to mitigate it.

Quantifying Confidence Using Metrics – an IV&V Perspective
Amiruddin Jaafar Sidek

Malaysian Software Testing Board , Malaysia

Abstract:

Independent Verification and Validation (IV&V) practices involve multiple types of activities – review, testing, auditing etc – and produce various reports and readings.
- How do we review/analyze these reports and readings leveraging measurements and metrics?
- What are the tell-tale signs that the product/project is not in the pink of health?
- What does it take to ensure stakeholders have high confidence in software products and services offered?

Software Process Metrics
Halizawati MOHD HALID

Custommedia Sdn Bhd, Malaysia

Abstract:

The software industry uses metrics to quantify the development, operation and maintenance of software. Software metrics are broadly classified as product metrics, process metrics and project metrics.
- Product metrics define the product characteristics for example size, design features, complexity, performance, and quality level.
- Process metrics are metrics pertaining to Process Quality that can be used to improve software development and maintenance. Software process metrics are associated to the effort to complete the project, the use of project resources, and the methodology to abide by. Process metrics are
collected across all projects and over long periods of time. Examples of software process metrics are cost of quality, testing efficiency and defect removal efficiency.
- Project metrics define the characteristics and execution of the project and are used to monitor and control the project. Examples include the values of human effort, cost, and project schedule.
The above metrics are captured to establish and maintain a baseline. This baseline is known as the Process Capability Baseline (PCB) which represents a quantitative understanding of the performance of an organization's set of standard processes in support of quality and process-performance objectives. PCB contains measures which are made available so that current and future projects are able to use them to plan, predict outcomes and manage effort and results.

Break

Guidelines of Quality Assurance for Artificial-Intelligence-based products　and services（QA4AI）
Yasuharu Nishi

The university of Electro-Communications, Japan

Abstract:

Consortium of QA4AI published the guidelines for quality assurance of machine learning-based artificial intelligence on 17th May 2019. In this presentation, he will discuss about overview and methodology of the guidelines that includes axes of quality evaluation and technical catalog for ML-bases systems. The guidelines cover some specific ML-based systems such as generative systems, operational data in process systems, voice user interface and autonomous driving.

Closing

Makoto Nonaka，Toyo University，Japan

Networking

talks with drinks and snacks