Software Usability Evaluation Based on the User Pinpoint Activity Heat Map

Danilov, Nikita; Shulga, T. E.; Frolova, Natalya; Melnikova, Nina; Vagarina, Nataliia S.; Pchelintseva, Elena

doi:10.1007/978-3-319-33622-0_20

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…Manual GUI Testing. Manual testing can be defined as a process in which software testers manually verify the correctness of software functionalities according to the requirements provided by customers [29,55,56]. Many studies explored the factors influencing testers' performance such as training [65,89], recruitment process [28,92], and their experience [47].…”

Section: Related Workmentioning

confidence: 99%

“…According to the nodes sequence information of the shortest path in 𝑁𝑜𝑑𝑒𝑆𝑒𝑞𝑢𝑒𝑛𝑐𝑒 and the visit status information in 𝑉 𝑖𝑠𝑖𝑡𝑆𝑡𝑎𝑡𝑢𝑠, each intermediate node is backtracked from the tail node 𝑛𝑜𝑑𝑒 to derive the visit order of nodes. After all nodes in the graph are visited, the algorithm can recommend the planned path for testers to explore (line [23][24][25][26][27][28][29].…”

Section: 21mentioning

confidence: 99%

See 1 more Smart Citation

Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves

Liu,

Chen,

Wang

et al. 2022

Preprint

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Mobile apps are indispensable for people's daily life. Complementing with automated testing, manual testing is the last line of defence for app quality. However, the repeated actions and easily missing of functionalities make manual testing time-consuming and inefficient. Inspired by the game candy crush with flashy candies as hint moves for players, we propose an approach named NaviDroid for navigating testers via highlighted next operations for more effective and efficient testing. Within NaviDroid, we construct an enriched state transition graph with the triggering actions as the edges for two involved states. Based on it, we utilize the dynamic programming algorithm to plan the exploration path, and augment the GUI with visualized hints for testers to quickly explore untested activities and avoid duplicate explorations. The automated experiments demonstrate the high coverage and efficient path planning of NaviDroid and a user study further confirms its usefulness. It can help us develop more robust software that works in more missioncritical settings, not only by performing more thorough testing with the same effort that has been put in before, but also by integrating these techniques into different parts of development pipeline.

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