ScriptPainter: Vision-based, On-device Test Script Generation for Mobile Systems

Choi, Yousung; Seo, Ahreum; Kim, Hyung-Sin

doi:10.1109/ipsn54338.2022.00045

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…Not all features are suitable for automated testing, and some still require careful manual testing evaluation by our engineers. This leads to the first major challenge: determining which features should prioritize to be automated testing by QA engineers (Choi et al, 2022;Makki et al, 2017;Mayr-Dorn et al, 2023). It's a critical decision that requires a clear understanding and strategic planning to ensure that the testing process is both efficient and effective (Chatterjee & Dethlefs, 2022;Fukuzaki et al, 2022;Mayr-Dorn et al, 2021).…”

Section: Company Profilementioning

confidence: 99%

Evaluating the Decision to Implement Fully Automated Testing to Increase Business Quality Service in Asuransi Astra Digital Products

Hongo,

Sunitiyoso

2023

Quant. Econ. Manag. Stud.

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Taking these developments into account, this research will focus on assessing the ability of Asuransi Astra's digital teams to implement a fully automated testing process for its digital products. By analyzing various factors that can influence the successful implementation of automated testing, this research aims to provide insights in determining what and how many features requires to be selected to be tested by automation within Asuransi Astra's digital products. The aim of this research is to evaluate the discision to implement fully automated testing to increase bussines quality services in asuransi astra digital products. After determining the research design, the author requires data to assist in answering the research questions and achieving the goals. There is a process known as data collection for gathering necessary data. The model has facilitated understanding role expectations and aligned team efforts, allowing for a more synchronized approach towards teamwork and strategy.

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Section: Company Profilementioning

confidence: 99%

Evaluating the Decision to Implement Fully Automated Testing to Increase Business Quality Service in Asuransi Astra Digital Products

Hongo,

Sunitiyoso

2023

Quant. Econ. Manag. Stud.

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“…Typical MCUs are equipped with memory of less than 1 MB. Due to these limitations, even a lightweight model that runs on an edge device [ 3 ], such as MobileNet [ 4 ], is impossible to run on MCUs. Thus DNN applications on MCUs have been limited to extremely simplified tasks, such as simple image and audio binary classifications.…”

Section: Introductionmentioning

confidence: 99%

MiCrowd: Vision-Based Deep Crowd Counting on MCU

Son

Seo

Gyeongseon

et al. 2023

Sensors

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Microcontrollers (MCUs) have been deployed on numerous IoT devices due to their compact sizes and low costs. MCUs are capable of capturing sensor data and processing them. However, due to their low computational power, applications processing sensor data with deep neural networks (DNNs) have been limited. In this paper, we propose MiCrowd, a floating population measurement system with a tiny DNNs running on MCUs since the data have essential value in urban planning and business. Moreover, MiCrowd addresses the following important challenges: (1) privacy issues, (2) communication costs, and (3) extreme resource constraints on MCUs. To tackle those challenges, we designed a lightweight crowd-counting deep neural network, named MiCrowdNet, which enables on-MCU inferences. In addition, our dataset is carefully chosen and completely re-labeled to train MiCrowdNet for counting people from an mobility view. Experiments show the effectiveness of MiCrowdNet and our relabeled dataset for accurate on-device crowd counting.

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LLM for Test Script Generation and Migration: Challenges, Capabilities, and Opportunities

Yu,

Fang,

Ling

et al. 2023

2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS)

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ScriptPainter: Vision-based, On-device Test Script Generation for Mobile Systems

Cited by 3 publications

References 27 publications

Evaluating the Decision to Implement Fully Automated Testing to Increase Business Quality Service in Asuransi Astra Digital Products

Evaluating the Decision to Implement Fully Automated Testing to Increase Business Quality Service in Asuransi Astra Digital Products

MiCrowd: Vision-Based Deep Crowd Counting on MCU

LLM for Test Script Generation and Migration: Challenges, Capabilities, and Opportunities

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