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12th Asia-Pacific Software Engineering Conference (APSEC'05) 2005
DOI: 10.1109/apsec.2005.87
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Personal software process (PSP) assistant

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Cited by 18 publications
(9 citation statements)
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“…Research result from [12] shows that automating PSP data entry does not result in substantial amount of PSP tool adoption. The main reason for the low adoption of PSP tools (despite the automation of the data entry currently available) is related to the fact that users of tools such as PSP Dashboard, LEAP system and PSP Studio have to switch often between the recording tool and their development tool.…”
Section: Problemmentioning
confidence: 99%
See 3 more Smart Citations
“…Research result from [12] shows that automating PSP data entry does not result in substantial amount of PSP tool adoption. The main reason for the low adoption of PSP tools (despite the automation of the data entry currently available) is related to the fact that users of tools such as PSP Dashboard, LEAP system and PSP Studio have to switch often between the recording tool and their development tool.…”
Section: Problemmentioning
confidence: 99%
“…Currently, there are tools that enable software engineers to collect data necessary to perform PSP quality assessment but recent research shows that software engineers are not using these tools, and the main reason they cite for not using PSP tools is that data collection process is too cumbersome [10]. To solve this problem, researchers have created PSP tools that automate the data collection process, but so far there is no research paper we could find that shows software engineers in industry are using the new set of PSP automating tools such Hackystat [11] and PSPA (Personal Software Process Assistant) [12].…”
Section: Introductionmentioning
confidence: 99%
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“…Several PSP support tools have been developed such as Process Dashboard [11], Hackystat [2,9], and PSPA [10] to help automatic data collection and analyses. Among those tools, Hackystat provides the most similar functionalities to the Jasmine in that both tools provide sensor-based automated data collection.…”
Section: Comparative Analysis Of Related Toolsmentioning
confidence: 99%