JPWO2021202870A5 - - Google Patents
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- JPWO2021202870A5 JPWO2021202870A5 JP2022559972A JP2022559972A JPWO2021202870A5 JP WO2021202870 A5 JPWO2021202870 A5 JP WO2021202870A5 JP 2022559972 A JP2022559972 A JP 2022559972A JP 2022559972 A JP2022559972 A JP 2022559972A JP WO2021202870 A5 JPWO2021202870 A5 JP WO2021202870A5
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- software build
- stimulus input
- activity data
- computing device
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- 230000003993 interaction Effects 0.000 claims 3
- 238000013499 data model Methods 0.000 claims 2
Claims (1)
前記ユーザーコンピューティング装置と通信可能に係合された少なくとも１つのセンサーを用いて、前記ソフトウェアビルドの前記インスタンス内で前記１つ以上のコンピュータ制御刺激または相互作用の提示に応答して複数のユーザー入力を受信することであって、前記複数のユーザー入力は、前記ソフトウェアビルドのセッションに対するユーザー活動データを含むことと、
前記ユーザーコンピューティング装置と通信可能に係合されたプロセッサを用いて、前記ユーザー活動データを受信することと、
前記プロセッサを用いて、前記ユーザー活動データを少なくとも１つのデータモデルに従って処理して、前記複数のユーザー入力内の各ユーザー入力に対する１つ以上の実際の刺激入力パターンを判断することと、
前記複数のユーザー入力内の各ユーザー入力に対する前記１つ以上の実際の刺激入力パターンを、前記少なくとも１つの特徴に対する前記予期された刺激入力パターンと比較して、前記１つ以上の実際の刺激入力パターンが、前記ソフトウェアビルドの前記セッション内の前記予期された刺激入力パターンを反映していたインスタンスの総数を決定することと、
前記プロセッサを用いて、前記ユーザー活動データに対する少なくとも１つの出力値を前記少なくとも１つのデータモデルに従って計算することであって、前記少なくとも１つの出力値は、前記少なくとも１つの特徴に適したモデルの定性的または定量的程度を含むことと、
前記ソフトウェアビルドに対する合格／不合格状態を前記少なくとも１つの出力値に従って判断することと
を含む、ソフトウェア品質保証のための方法。 presenting an instance of a software build to a user via a graphical user interface using a user computing device, the software build including at least one feature including one or more computer-controlled stimuli or interactions configured to elicit an expected stimulus input pattern from the user in response to the one or more computer-controlled stimuli or interactions;
receiving, with at least one sensor communicatively engaged with the user computing device, a plurality of user inputs in response to the presentation of the one or more computer-controlled stimuli or interactions within the instance of the software build, the plurality of user inputs including user activity data for a session of the software build;
receiving, with a processor communicatively coupled to the user computing device, the user activity data;
processing, with the processor, the user activity data in accordance with at least one data model to determine one or more actual stimulus input patterns for each user input in the plurality of user inputs;
comparing the one or more actual stimulus input patterns for each user input in the plurality of user inputs to the expected stimulus input pattern for the at least one feature to determine a total number of instances in which the one or more actual stimulus input patterns reflected the expected stimulus input pattern within the session of the software build;
calculating, with the processor, at least one output value for the user activity data in accordance with the at least one data model, the at least one output value including a qualitative or quantitative measure of model fit to the at least one feature;
determining a pass/fail status for the software build according to the at least one output value.
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202063003673P | 2020-04-01 | 2020-04-01 | |
| US63/003,673 | 2020-04-01 | ||
| US17/117,050 | 2020-12-09 | ||
| US17/117,050 US11960383B2 (en) | 2020-04-01 | 2020-12-09 | Systems and methods for software design control and quality assurance |
| PCT/US2021/025377 WO2021202870A1 (en) | 2020-04-01 | 2021-04-01 | Systems and methods for software design control and quality assurance |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2023520791A JP2023520791A (en) | 2023-05-19 |
| JPWO2021202870A5 true JPWO2021202870A5 (en) | 2024-04-11 |
Family
ID=77922135
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022559972A Pending JP2023520791A (en) | 2020-04-01 | 2021-04-01 | Systems and methods for software design control and quality assurance |
Country Status (9)
| Country | Link |
|---|---|
| US (1) | US11960383B2 (en) |
| EP (1) | EP4127919A1 (en) |
| JP (1) | JP2023520791A (en) |
| KR (1) | KR20220154830A (en) |
| CN (1) | CN115769190A (en) |
| AU (1) | AU2021247182A1 (en) |
| CA (1) | CA3173240A1 (en) |
| TW (1) | TWI812935B (en) |
| WO (1) | WO2021202870A1 (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11929163B1 (en) * | 2020-10-16 | 2024-03-12 | Express Scripts Strategic Development, Inc. | Automated device efficacy determination systems for health monitoring devices |
| WO2023068817A1 (en) * | 2021-10-19 | 2023-04-27 | (주)클로버추얼패션 | Method and device for testing rendering results |
| CN113722239B (en) * | 2021-11-01 | 2022-01-25 | 南昌航空大学 | Airborne embedded software quality detection method, device, medium and electronic equipment |
Family Cites Families (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6652457B1 (en) | 1999-09-27 | 2003-11-25 | Gary L. Skiba | Stimulus-response conditioning process |
| US20020147620A1 (en) | 2001-01-31 | 2002-10-10 | Walsh Thomas J. | Software quality assurance management system |
| US20030009740A1 (en) | 2001-06-11 | 2003-01-09 | Esoftbank (Beijing) Software Systems Co., Ltd. | Dual & parallel software development model |
| US7299451B2 (en) | 2002-01-24 | 2007-11-20 | International Business Machines Corporation | Remotely driven system for multi-product and multi-platform testing |
| DE102006046203A1 (en) | 2006-09-29 | 2007-08-30 | Siemens Ag | Software source code evaluating method, involves classifying detected errors, assigning errors to error class from set of error classes, and assigning specification, which specifies errors of respective error classes to each error class |
| US8286143B2 (en) * | 2007-11-13 | 2012-10-09 | International Business Machines Corporation | Method and system for monitoring code change impact on software performance |
| US8086280B2 (en) * | 2008-06-16 | 2011-12-27 | Rivada Networks Llc | Explosion proof communications relay and communications system |
| US9111030B1 (en) | 2008-10-03 | 2015-08-18 | Federal Home Loan Mortgage Corporation | Systems and methods for testing a software application |
| US9021441B2 (en) | 2009-03-30 | 2015-04-28 | Verizon Patent And Licensing Inc. | Methods and systems of determining a quality level of a software instance |
| TWM496157U (en) | 2009-10-28 | 2015-02-21 | ming-yun Li | Monitoring system of multi-configuration information collection and performance detection evaluation |
| JP5626786B2 (en) | 2010-11-09 | 2014-11-19 | インターナショナル・ビジネス・マシーンズ・コーポレーションＩｎｔｅｒｎａｔｉｏｎａｌ Ｂｕｓｉｎｅｓｓ Ｍａｃｈｉｎｅｓ Ｃｏｒｐｏｒａｔｉｏｎ | Software development support method, software development support device, and software development support program |
| DE112012006377B4 (en) | 2012-05-17 | 2022-02-24 | Intel Corporation | Control energy consumption and performance of computer systems |
| US9459994B2 (en) * | 2013-02-20 | 2016-10-04 | Kony, Inc. | Mobile application testing systems and methods |
| US20150164377A1 (en) | 2013-03-13 | 2015-06-18 | Vaidhi Nathan | System and method of body motion analytics recognition and alerting |
| US9483393B1 (en) | 2013-12-05 | 2016-11-01 | Amazon Technologies, Inc. | Discovering optimized experience configurations for a software application |
| US10817530B2 (en) | 2015-01-23 | 2020-10-27 | C3.Ai, Inc. | Systems, methods, and devices for an enterprise internet-of-things application development platform |
| EP3291875B1 (en) * | 2015-05-04 | 2023-01-04 | Phoenix NeuroStim Therapeutics, LLC | Modulation of brainwave activity using non-invasive stimulation of sensory pathways |
| US9558098B1 (en) | 2016-03-02 | 2017-01-31 | King Fahd University Of Petroleum And Minerals | Method, apparatus, and non-transitory computer readable media for the assessment of software products |
| KR20190027354A (en) * | 2016-04-08 | 2019-03-14 | 비짜리오 인코포레이티드 | Method and system for acquiring, analyzing and generating vision performance data and modifying media based on vision performance data |
| US20180113802A1 (en) * | 2016-10-21 | 2018-04-26 | Sivakumar Yeddnapuddi | Application simulator for a vehicle |
| EP3531915A4 (en) * | 2016-10-24 | 2020-04-22 | Akili Interactive Labs, Inc. | Cognitive platform configured as a biomarker or other type of marker |
| US11201937B2 (en) * | 2018-11-22 | 2021-12-14 | Jeffrey Alan Carley | Message broker customization with user administered policy functions |
-
2020
- 2020-12-09 US US17/117,050 patent/US11960383B2/en active Active
-
2021
- 2021-04-01 EP EP21781815.2A patent/EP4127919A1/en active Pending
- 2021-04-01 KR KR1020227038311A patent/KR20220154830A/en active Search and Examination
- 2021-04-01 AU AU2021247182A patent/AU2021247182A1/en active Pending
- 2021-04-01 JP JP2022559972A patent/JP2023520791A/en active Pending
- 2021-04-01 TW TW110112131A patent/TWI812935B/en active
- 2021-04-01 WO PCT/US2021/025377 patent/WO2021202870A1/en unknown
- 2021-04-01 CN CN202180027162.2A patent/CN115769190A/en active Pending
- 2021-04-01 CA CA3173240A patent/CA3173240A1/en active Pending
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