Automated Tests Now and Future @ SQiP Workshop Special Lecture 2024

2024年度SQiP研究会 特別講義「自動テストの現在とこれから」の講義資料です。

Transcript

1. ࣗಈςετͷݱࡏͱ͜Ε͔Β Teppei YAMAGUCHI @2024೥౓SQiPݚڀձ ಛผߨٛ 4/4
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2. ࣗݾ঺հ ▸ גࣜձࣾLayerX ݉ ݸਓࣄۀओ ▸ ΞδϟΠϧ։ൃ͓Αͼͦͷதͷ඼࣭ΛςʔϚʹۀ຿Λ͓͜ͳ͍ͬͯΔϓϩάϥϚʔɺίϯαϧλϯτɺ ίʔνɺςελʔͰ͢ ▸ LayerXͰ͸ɺϓϩμΫτνʔϜͷςελʔΛ୲͍ͭͭɺࣄۀ෦શମͷࣗಈςετ؀ڥ΍඼࣭ՄࢹԽͷߏ ஙɾ੔උΛ͓͜ͳ͍ͬͯ·͢ ▸ ೔ཱ੡࡞ॴͰͷ૊ࠐܥιϑτ΢ΣΞ։ൃٕज़ͷݚڀ։ൃ΍ٕज़ಋೖΛܦͯɺ ϠϑʔͳͲWEBاۀͰͷΞδϟΠϧ։ൃ΍ςετࣗಈԽͷ૊৫ಋೖɺ ࣗಈςετγεςϜͷ։ൃӡ༻Λ͓͜ͳ͖ͬͯ·ͨ͠ ▸ ʰιϑτ΢ΣΞςετΛΧΠθϯ͢Δ50ͷΞΠσΞʱ ʰFearless Changeʱͱ͍͏຋༁ॻΛग़൛͍ͯ͠·͢ ▸ SQiPݚڀձ ෼Պձ4ʮΞδϟΠϧͱ඼࣭ʯΞυόΠβʔ
3. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετʹؔ͢ΔҰൠతͳ ֶशϦιʔε ▸ ࿨ా୎ਓࢯͷߨԋ΍ߨԋࢿྉΛج఺ ʹࢀর͢Δ͜ͱΛ͓͢͢Ί͠·͢ ▸ https://speakerdeck.com/twada
4. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࠓ೔ͷ࿩ ▸ ࣗಈςετɾςετࣗಈԽʹ·ͭΘΔҎԼͷ఺Λɺ৭ʑΛࢲݟࠞ͡ΓͰ঺հ͠·͢ ▸ ࣗಈςετͷॏཁੑͷมભͱ஫໨ͷߴ·Γ ▸ ݱࡏͷࣗಈςετͷଟ༷ੑ ▸ ৬छ͝ͱͷࣗಈςετ΁ͷؔΘΓํ ▸ ࣗಈςετͷ͜Ε͔Β
5. ࣗಈςετͷॏཁੑͷ มભͱ஫໨ͷߴ·Γ
6. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετ͸Ͳ͏͍͏΋ͷ͔ ▸ ISTQB Certi fi ed Tester Advanced Level Test Automation Engineering v2.0ΑΓ(ׅހ಺͸ߨԋऀ͕༁ͨ͠΋ͷ) ▸ Test automation has many advantages. It: ▸ Allows more tests to be run per build compared to manual tests (खಈςετͱൺֱͯ͠ɺϏϧυ͝ͱʹΑΓଟ͘ͷςετΛ࣮ߦͰ͖Δ) ▸ Provides the ability to create and execute tests that cannot be executed manually (e.g., real time response, remote testing, and parallel testing) (खಈͰ͸࣮ߦͰ͖ͳ͍ςετʢϦΞϧλΠϜͷԠ౴ɺϦϞʔτςετɺฒྻςετͳͲʣΛ࡞੒͓Αͼ࣮ߦͰ͖Δ) ▸ Allows for tests that are more complex than manual tests (खಈςετΑΓ΋ෳࡶͳςετΛ࣮ߦͰ͖Δ) ▸ Executes faster than manual tests (खಈςετΑΓ΋଎࣮͘ߦ͞ΕΔ) ▸ Is less subject to human error (ਓҝతͳΤϥʔͷӨڹΛड͚ʹ͍͘) ▸ Is more effective and ef fi cient in use of test resources (ςετϦιʔεͷ࢖༻͕ΑΓޮՌత͔ͭޮ཰తͰ͋Δ) ▸ Provides quicker feedback regarding SUT quality (ςετର৅ͷ඼࣭ʹରͯ͠ΑΓਝ଎ͳϑΟʔυόοΫΛఏڙ͢Δ) ▸ Helps improve system reliability (e.g., availability, and recoverability) (γεςϜͷ৴པੑʢՄ༻ੑ΍෮چੑͳͲʣͷ޲্ʹد༩͢Δ) ▸ Improves the consistency of test execution across test cycles (ςεταΠΫϧશମʹ͓͍ͯςετ࣮ߦͷҰ؏ੑΛ޲্ͤ͞Δ)
7. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετ͸Ͳ͏͍͏΋ͷ͔ ▸ ISTQB Certi fi ed Tester Advanced Level Test Automation Engineering v2.0ΑΓ(ׅހ಺͸ߨԋऀ͕༁ͨ͠΋ͷ) ▸ However, test automation has potential disadvantages including: ▸ Additional costs will be involved for the project as there may be a need to hire a test automation engineer (TAE), buy new hardware, and set up training (ςετࣗಈԽΤϯδχΞͷޏ༻ɺ৽͍͠ϋʔυ΢ΣΞͷߪೖɺτϨʔχϯάͷઃఆͳͲʹΑΓɺϓϩδΣΫτʹ௥Ճͷίε τ͕͔͔ΔՄೳੑ͕͋Δ) ▸ Requirement of initial investment to set up a test automation solution (ςετࣗಈԽιϦϡʔγϣϯΛηοτΞοϓ͢ΔͨΊͷॳظ౤ࢿ͕ ඞཁͰ͋Δ) ▸ Time to develop and maintain a test automation solution (ςετࣗಈԽιϦϡʔγϣϯͷ։ൃͱҡ࣋ʹ͕͔͔࣌ؒΔ) ▸ Requirement for clear test automation objectives to ensure success (੒ޭΛ࣮֬ʹ͢ΔͨΊʹ͸ɺ໌֬ͳςετࣗಈԽͷ໨త͕ඞཁͰ͋Δ) ▸ Rigidity of tests, and less adaptability to changes in the SUT (ςετ͕ݻఆԽ͞ΕɺSUTͷมߋʹରͯ͠ॊೈʹదԠ͠ʹ͍͘͜ͱ͕͋Δ) ▸ Introduction of additional defects by test automation (ςετࣗಈԽʹΑͬͯ৽ͨͳ͕ܽؕಋೖ͞ΕΔՄೳੑ͕͋Δ)
8. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࠓͷιϑτ΢ΣΞ։ൃʹ͓͍ͯɺࣗಈςετ͕ͳͥॏཁͳͷ͔ʁ ▸ ΞδϟΠϧ։ൃ΍ෆ࣮֬ͳཁٻΛ࣮ݱ͢ΔͨΊͷιϑτ΢ΣΞ։ൃͷ૿ՃɺΫϥ΢υͳͲͷٕ ज़ਐԽʹΑΓɺߴස౓ͷ൓෮తͳ։ൃ͕͓͜ͳΘΕΔΑ͏ʹͳͬͨ ▸ ͜ΕʹΑΓɺςετճ਺ͷ૿Ճͨ͠ ▸ ͦͷߴස౓ͷςετΛɺݱ࣮తͳίετͰ࣮ݱ͢ΔͨΊʹɺࣗಈςετ΁ͷ஫໨͕ߴ·ͬͨ ▸ Ճ͑ͯɺίʔυ࡞੒ޙૣ͍ஈ֊͔ΒશςετϨϕϧʹ͓͚ΔςετΛ࣮ࢪ͢Δ͜ͱʹΑΔϝ Ϧοτͷ࣮ݱखஈͱͯ͠΋ɺࣗಈςετ΁ͷظ଴͕ߴ·͍ͬͯΔ
9. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετ΁ͷ஫໨͕ͲͷΑ͏ʹมԽ͖͔ͯͨ͠ ▸ Google TrendsͰ͜͜10೥ؒ͘Β͍ΛݟΔͱɺ௚ۙ࠶ͼؔ৺͕ߴ·͍ͬͯΔ
10. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετ΁ͷ஫໨͕ͲͷΑ͏ʹมԽ͖͔ͯͨ͠ ▸ ιϑτ΢ΣΞςετࣗಈԽΧϯϑΝϨϯε2023ࢀՃऀΞϯέʔτͰͷ܏޲
11. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετΛઐ໳ͱ͢Δ৬छͷൃੜͱมԽ ▸ Microsoftʹ͓͚Δࣗಈςετʹؔ͢Δ৬छͱͯ͠ɺSDET(Software Development Engineer in Test)͕ଘࡏ͢Δ ▸ ςετΤϯδχΞͱSDETͷҧ͍ʢ2004೥࣌఺ʣʢॻ੶ʮHOW WE TEST SOFTWARE AT MicrosoftʯΑΓʣ ▸ Microsoftʹͯ2001,2002೥ࠒ͔Βଘࡏ͢ΔɻSTEͱSDET͕ฒྻͯ͠ɺ2005೥ʹSDETʹ౷Ұɻ ▸ ͨͩ͠ɺࠓͷMicrosoftͷ࠾༻αΠτͰɺຊ৬छͷืू͸ͳ͍ Common SDE/T tasks Common STE tasks Develop test harness for test automation Write test plans Develop specialty test tools for security or performance testing Document test cases Automate API or protocol tests Run manual tests Participate in bug bashes Write automation for core tests Find, debug, fi le, and regress bugs Find, fi le, and regress bugs Participate in design reviews Participate in design reviews Participate in code reviews
12. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετΛઐ໳ͱ͢Δ৬छͷൃੜͱมԽ ▸ Googleʹ͓͚Δࣗಈςετʹؔ͢Δ৬छͱͯ͠ɺSET(Software Engineers in Test)͕ଘࡏͨ͠ ▸ > Software Engineers in Test (SET) develop test frameworks and build robust, scalable, and effective tests. SETs spend a majority of their time coding in either C++, Java, or scripting in Python. A SET is a software engineer, a core developer, who has a passion for test engineering. (Google Testing Blog "Google is hiring SETs" ΑΓ) ▸ Googleʹͯ2010೥ࠒ͔Βଘࡏͨ͠ ▸ 2016೥͔ΒSETI(Software engineer, tools and infrastructure)΁౷߹͞Εͨ ( Google Testing Blog "What Test Engineers do at Google" , Google Testing Blog "From QA to Engineering Productivity" ΑΓ)
13. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετΛઐ໳ͱ͢Δ৬छͷൃੜͱมԽ ▸ ೔ຊࠃ಺ͰͷࣗಈςετΛઐ໳ͱ͢Δ৬छͷٻਓঢ়گ ▸ 2012೥ࠒʹ͸ͦͷΑ͏ͳٻਓ͸ଘࡏ͠ͳ͔ͬͨ ▸ ͦΕނɺ2012೥ࠒʹൃ଍͞ΕͨʮςετࣗಈԽݚڀձʯͱ͍͏ίϛϡχςΟͰ͸ɺʮʮςετࣗಈ ԽΤϯδχΞʯ(Automator)ͱ͍͏৬छΛ೔ຊͰ΋ීٴͤ͞Δʯ͜ͱΛ໨ඪʹܝ͍͛ͯΔ ▸ 2024ݱࡏͰ͸ɺʮςετࣗಈԽΤϯδχΞʯͰٻਓαΠτΛݕࡧ͢Δͱɺ100݅Ҏ্ͷٻਓ͕ଘࡏ͢Δ ▸ ʮςετΤϯδχΞʯʮQAΤϯδχΞʯͷٻਓͷதͰɺςετࣗಈԽΤϯδχΞΛืू͍ͯ͠Δ͜ ͱ΋͋Γɺ࣮࣭తʹ͸΋ͬͱଟ͍ͱߟ͑ΒΕΔ
14. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετͷॏཁੑͷมભͱ஫໨ͷߴ·Γ ▸ ΞδϟΠϧ։ൃ΍Ϋϥ΢υٕज़ͷਐԽʹΑΓɺࣗಈςετͷॏཁੑ͕૿Ճ͖ͯͨ͠ ▸ ࣗಈςετɾςετࣗಈԽͷ৬छ͸ɺւ֎Ͱ͸ൃలతղফ͞ΕΔέʔεͱ௕͘ଓ͘ έʔε͕ଘࡏ͍ͯ͠Δɻࠃ಺Ͱ͸ɺٸ଎ʹ࠾༻͕૿͍͑ͯΔ
15. ࣗಈςετͷଟ༷ੑ
16. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ςετϓϩηεʹ͓͚ΔࣗಈԽ ▸ ςετϓϩηε ▸ ςετܭը → ֤૊৫ͰͷܦݧతͳςϯϓϨʔτ΍ϊ΢ϋ΢͸ैདྷ͔Βଘࡏ͢Δ͕ɺͦΕҎ্ʹݱ࣌఺Ͱ͸ࣗಈԽ͞Εͯ ͍ͳ͍ ▸ ςετͷϞχλϦϯάͱίϯτϩʔϧ → ςετ؅ཧπʔϧͰ͋Δఔ౓ࣗಈԽ͞Ε͍ͯΔ ▸ ςετ෼ੳ → ͦ΋ͦ΋෼ੳํ๏͕͋·ΓܗࣜԽ͞Ε͍ͯͳ͍ͨΊɺࠓޙ΋೉͍͔͠΋͠Εͳ͍ɻੜ੒AIΛ࢖ͬͨʮΏ΋ ͭΑϝιουʹ͓͚Δ࿦ཧతػೳߏ଄΁ͷ෼ྨʯΛࢼ࡞͞Ε͍ͯͨΓ͸͢Δ ▸ ςετઃܭ → ޙड़ ▸ ςετ࣮૷ → ޙड़ ▸ ςετ࣮ߦ → ޙड़ ▸ ςετ׬ྃ → ςετܭըಉ༷ɺ֤૊৫Ͱͷϊ΢ϋ΢͸ैདྷ͔Βଘࡏ͢Δ͕ɺͦΕҎ্ʹݱ࣌఺Ͱ͸ࣗಈԽ͞Ε͍ͯͳ͍
17. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ςετ࣮ߦʹ͓͚ΔࣗಈԽ ▸ ػೳςετͷࣗಈԽ ▸ ྑ͋͘ΔࣗಈςετͰ͋Γɺʮ࣮ߦʯͦͷ΋ͷ͸πʔϧ΍ٕज़ͱͯ͠͸͋·ΓมԽ͍ͯ͠ͳ͍ ▸ ʮPredictive Test Selectionʯͱ͍͏ςετͷ࣮ߦ݁Ռ΍มߋ৘ใΛར༻ͨ͠ςετબ୒΍༏ઌॱҐ෇͚ςετ࣮ߦٕज़͕͋Γɺ ݱ࣮తͳ࣮૷ͱͯ͠ Launchable ͕πʔϧల։͍ͯ͠Δ ▸ ηΩϡςΟςετͷࣗಈԽ ▸ ύλʔϯϚονϯά΍ػցֶशʹΑΔ੬ऑੑͷࢦఠൣғ͕֦େ͍ͯ͠Δ ▸ Amazon CodeGuru ηΩϡϦςΟ ▸ > ػցֶश (ML) ͱࣗಈਪ࿦Λ૊Έ߹Θͤͨ੩తΞϓϦέʔγϣϯηΩϡϦςΟݕࠪ (SAST) πʔϧ ▸ Trivy ▸ > Scanners (what Trivy can fi nd there): OS packages and software dependencies in use (SBOM), Known vulnerabilities (CVEs), IaC issues and miscon fi gurations, Sensitive information and secrets, Software licenses
18. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ςετઃܭʹ͓͚ΔࣗಈԽ ▸ ઃܭͷࣗಈԽ ▸ πʔϧʹΑΔɺςετٕ๏Λ࢖͏ςετઃܭͷ൒ࣗಈԽʢσʔλೖྗ͸ਓྗʣ ▸ GIHOZ ▸ Ϟσϧݕࠪ΍ϓϩύςΟϕʔεςετͷΑ͏ʹɺςετର৅͕ຬͨ͢ಛੑɾ৚݅Λਓ͕ఆٛͯ͠ɺςετέʔεͷઃ ܭͱͦͷݕূΛػցʹ͓͜ͳΘͤΔํ๏͕ܭࢉػೳྗͷ޲্ͱπʔϧͷਐԽʹΑΓݱ࣮తʹ͓͜ͳΘΕ࢝Ί͍ͯΔ ▸ ϓϩύςΟϕʔεςετͷϑϨʔϜϫʔΫ(1ྫ) ϓϩάϥϛϯάݴޠ ϑϨʔϜϫʔΫ Haskell QuickCheck Go Rapid Python Hypothesis
19. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ςετ࣮૷ʹ͓͚ΔࣗಈԽ ▸ ੜ੒AIͷٕज़ΛഎܠʹมԽ͍ͯ͠Δ ▸ ςετίʔυ΍ςετखॱ࡞੒ɿ։ൃಉ༷ɺGithub CopilotͳͲʹΑΔิ׬ɾ࡞੒͕͓͜ͳΘΕΔΑ͏ʹͳͬͨ ▸ ςετίʔυ΍ςετखॱमਖ਼ ▸ ࡞੒ಉ༷ɺमਖ਼ͷิ׬΍αϙʔτ͕͓͜ͳΘΕΔΑ͏ʹͳͬͨ ▸ ςετͱ͸ຊ࣭తʹؔ܎ͳ͍ςετର৅ͷมߋʹ௥ै͢ΔͨΊͷauto-healingٕज़͸10೥Ҏ্લ͔Βଘࡏͯ͠ ͍͕ͨɺػցֶशɾੜ੒AIͷٕज़Λഎܠʹߴ౓ʹͳΔ͔΋͠Εͳ͍ ▸ mabl: GenAI for Software Testing Auto-Heals and Dynamically Updates Tests
20. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετͷଟ༷ੑ ▸ ͍ΘΏΔػೳςετͷʮςετ࣮ߦʯҎ֎ʹ΋ࣗಈςετ͸ଘࡏ͠ɺछྨ͸૿͖͍͑ͯͯΔ ▸ ηΩϡςΟςετͷࣗಈԽͱͯ͠ɺύλʔϯϚονϯά΍ػցֶशʹΑΔ੬ऑੑͷࢦఠൣғ͕֦େ͍ͯ͠Δ ▸ ςετઃܭͷࣗಈԽͷ1ͭͰ͋ΔϓϩύςΟϕʔεςετͷπʔϧ͕ἧ͍ͭͭ͋Δ ▸ ςετ࣮૷͸ੜ੒AIͷٕज़Λഎܠʹେ͖͘มԽ͖͍ͯͯ͠Δ ▸ ςετίʔυ࡞੒ɾमਖ਼͸։ൃಉ༷ɺGithub CopilotʹΑΔςετίʔυͷิ׬ɾ࡞੒͕͓͜ͳΘΕΔΑ͏ʹͳͬͨ ▸ ςετίʔυमਖ਼ʹؔͯ͠͸ɺςετର৅ͷςετͷຊ࣭తͰ͸ͳ͍มߋʹ௥ै͢ΔͨΊͷauto-healingٕज़͸10೥ Ҏ্લ͔Βଘࡏ͍͕ͯͨ͠ɺػցֶशɾੜ੒AIͷٕज़Λഎܠʹߴ౓ʹͳΔ͔΋͠Εͳ͍
21. ৬छ͝ͱͷࣗಈςετ ΁ͷؔΘΓํ
22. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετʹؔ࿈͢Δۀ຿ ▸ ࣗಈςετઓུͷࡦఆ ▸ ࣗಈςετج൫ͷπʔϧબఆ΍؀ڥߏஙɺӡ༻ ▸ ࣗಈςετͷར༻ଅਐ΍εΫϦϓτ࡞੒ٕज़ͷܒ໤ ▸ ࣗಈςετεΫϦϓτͷ࡞੒ɾอक
23. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετΤϯδχΞͷ໾ׂ͸૊৫ʹΑ༷ͬͯʑ WEBܥAࣾͷSenior Software Engineer in Testͷٻਓ WEBܥBࣾͷςετࣗಈԽΤϯδχΞͷٻਓ ࣗಈंܥCࣾͷςετࣗಈԽਪਐͷٻਓ ϓϩμΫτA·ͨ͸ͦͷؔ࿈ϓϩμΫτͷςετࣗಈԽʹؔ͢Δઓུͷࡦఆɾ ಋೖɾઃܭɾ࣮૷ͷϦʔυΛ୲͍͖ͬͯͨͩ·͢ɻQAνʔϜ಺ʹͱͲ·Β ͣɺ։ൃνʔϜ͕ςετΛࣗ཯తʹߦ͑ΔΑ͏ʹ͢ΔͨΊͷEnabling΋ຊϙδ γϣϯͷ໾ׂͰ͢ɻඞཁੑ΍ίετΛ౿·͑ͨAࣾʹ͓͚ΔޮՌతͳࣗಈԽͷ ͋ΓํΛεςʔΫϗϧμʔͱٞ࿦ɾڠಇ͠ɺϓϩμΫτ඼࣭Λվળ͢Δ͜ͱɺ ͦΕΛ௨͓ͯ͡٬༷ʹܧଓతʹՁ஋Λಧ͚Δ͜ͱ͕ϛογϣϯͰ͢ɻ ۩ମతͳۀ຿ྫ͸ҎԼΛ૝ఆ͍ͯ͠·͕͢ɺۀ຿಺༰͸͜Εʹݶఆ͞ΕΔ΋ͷ Ͱ͸͋Γ·ͤΜɻ ɾϓϩμΫτϏδϣϯɾࣄۀઓུɾ૊৫ঢ়گΛ౿·͑ͨࣗಈςετઓུͷࡦఆ ɾࣗಈςετ؀ڥͷධՁɾಋೖɺࣗಈςετͷΞʔΩςΫνϟઃܭɾ࣮૷ͷϦ ʔυ ɾιϑτ΢ΣΞσϦόϦʔϓϩηεશମͰࣗಈςετӡ༻ɾ؂ࢹɾվળͷܧଓ తͳਪਐ ɾςετ΢ΣΞʢςετσʔλ΍ςετπʔϧʣͳͲࣗಈԽɾ൒ࣗಈԽʹΑΔ ςετޮ཰վળͷϦʔυ ɾͦͷଞɺ඼࣭ʹؔ͢Δ՝୊ఏى΍ࣗಈԽʹབྷΊͨࢪࡦͷاըɾਪਐ ओʹςετࣗಈԽͷઓཱུҊɺ࣮૷ͷྖҬΛ୲ ౰͠·͢ɻ·ͨɺਐԽ͢ΔUX΍αʔϏεͷ଎ ͍ϦϦʔεαΠΫϧͱߴ͍඼࣭ͷཱ྆ͷͨΊɺ ςετࣗಈԽͷద༻ൣғ֦େΛؚΊɺ৽͍ٕ͠ ज़΍ϓϩηεͷੵۃతͳಋೖΛاըɾϦʔυ͠ ͍͖ͯͨͩ·͢ɻ ʲ۩ମతͳۀ຿ʳ ʻςετࣗಈԽͷج൫ܗ੒ʼ ɾࣗಈςετͷ؀ڥߏங ɾࣗಈςετγφϦΦͷ࡞੒ʗอक ɾࣗಈςετ࣮ߦ݁ՌͷϨϙʔςΟϯά ࣗಈंͷ։ൃͰ͸ɺෳ਺ͷECUΛ౷߹Խ͢ΔྲྀΕ͕ ਐΜͰ͓Γɺιϑτ΢ΣΞΛޮ཰Α͘։ൃ͢Δख๏ ͱͯ͠CI/CDͷ໾ׂ͕ॏཁʹͳ͍ͬͯ·͢ɻ͜ͷ৬ ຿Ͱ͸ɺAI΍ADASͷ։ൃʹཹ·ΒͣɺCࣾશମͷ ιϑτ΢ΣΞ։ൃͷকདྷ૾Λݕ౼͠ɺ૊৫શମʹ։ ൃϓϩηεΛఆண͍ͤͯ͘͞੹೚ऀͱͯ͠ͷ׆ಈΛ ͓೚ͤ͠·͢ɻ ʲओཁͳऔΓ૊ΈςʔϚʳ ɾCI/CDɾςετࣗಈԽϓϥοτϑΥʔϜͷઃܭ΍ ར༻͢Δπʔϧ܈ͷબఆ ɾΦϯϓϨϛε΍Ϋϥ΢υͷΠϯϑϥ্ͰͷCI/ CDɾςετࣗಈԽϓϥοτϑΥʔϜߏங
24. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετΤϯδχΞͷ໾ׂ͸૊৫ʹΑ༷ͬͯʑ WEBܥAࣾͷSenior Software Engineer in Testͷٻਓ WEBܥBࣾͷςετࣗಈԽΤϯδχΞͷٻਓ ࣗಈंܥCࣾͷςετࣗಈԽਪਐͷٻਓ ϓϩμΫτA·ͨ͸ͦͷؔ࿈ϓϩμΫτͷςετࣗಈԽʹؔ͢Δઓུͷࡦఆɾ ಋೖɾઃܭɾ࣮૷ͷϦʔυΛ୲͍͖ͬͯͨͩ·͢ɻQAνʔϜ಺ʹͱͲ·Β ͣɺ։ൃνʔϜ͕ςετΛࣗ཯తʹߦ͑ΔΑ͏ʹ͢ΔͨΊͷEnabling΋ຊϙδ γϣϯͷ໾ׂͰ͢ɻඞཁੑ΍ίετΛ౿·͑ͨAࣾʹ͓͚ΔޮՌతͳࣗಈԽͷ ͋ΓํΛεςʔΫϗϧμʔͱٞ࿦ɾڠಇ͠ɺϓϩμΫτ඼࣭Λվળ͢Δ͜ͱɺ ͦΕΛ௨͓ͯ͡٬༷ʹܧଓతʹՁ஋Λಧ͚Δ͜ͱ͕ϛογϣϯͰ͢ɻ ۩ମతͳۀ຿ྫ͸ҎԼΛ૝ఆ͍ͯ͠·͕͢ɺۀ຿಺༰͸͜Εʹݶఆ͞ΕΔ΋ͷ Ͱ͸͋Γ·ͤΜɻ ɾϓϩμΫτϏδϣϯɾࣄۀઓུɾ૊৫ঢ়گΛ౿·͑ͨࣗಈςετઓུͷࡦఆ ɾࣗಈςετ؀ڥͷධՁɾಋೖɺࣗಈςετͷΞʔΩςΫνϟઃܭɾ࣮૷ͷϦ ʔυ ɾιϑτ΢ΣΞσϦόϦʔϓϩηεશମͰࣗಈςετӡ༻ɾ؂ࢹɾվળͷܧଓ తͳਪਐ ɾςετ΢ΣΞʢςετσʔλ΍ςετπʔϧʣͳͲࣗಈԽɾ൒ࣗಈԽʹΑΔ ςετޮ཰վળͷϦʔυ ɾͦͷଞɺ඼࣭ʹؔ͢Δ՝୊ఏى΍ࣗಈԽʹབྷΊͨࢪࡦͷاըɾਪਐ ओʹςετࣗಈԽͷઓཱུҊɺ࣮૷ͷྖҬΛ୲ ౰͠·͢ɻ·ͨɺਐԽ͢ΔUX΍αʔϏεͷ଎ ͍ϦϦʔεαΠΫϧͱߴ͍඼࣭ͷཱ྆ͷͨΊɺ ςετࣗಈԽͷద༻ൣғ֦େΛؚΊɺ৽͍ٕ͠ ज़΍ϓϩηεͷੵۃతͳಋೖΛاըɾϦʔυ͠ ͍͖ͯͨͩ·͢ɻ ʲ۩ମతͳۀ຿ʳ ʻςετࣗಈԽͷج൫ܗ੒ʼ ɾࣗಈςετͷ؀ڥߏங ɾࣗಈςετγφϦΦͷ࡞੒ʗอक ɾࣗಈςετ࣮ߦ݁ՌͷϨϙʔςΟϯά ࣗಈंͷ։ൃͰ͸ɺෳ਺ͷECUΛ౷߹Խ͢ΔྲྀΕ͕ ਐΜͰ͓Γɺιϑτ΢ΣΞΛޮ཰Α͘։ൃ͢Δख๏ ͱͯ͠CI/CDͷ໾ׂ͕ॏཁʹͳ͍ͬͯ·͢ɻ͜ͷ৬ ຿Ͱ͸ɺAI΍ADASͷ։ൃʹཹ·ΒͣɺCࣾશମͷ ιϑτ΢ΣΞ։ൃͷকདྷ૾Λݕ౼͠ɺ૊৫શମʹ։ ൃϓϩηεΛఆண͍ͤͯ͘͞੹೚ऀͱͯ͠ͷ׆ಈΛ ͓೚ͤ͠·͢ɻ ʲओཁͳऔΓ૊ΈςʔϚʳ ɾCI/CDɾςετࣗಈԽϓϥοτϑΥʔϜͷઃܭ΍ ར༻͢Δπʔϧ܈ͷબఆ ɾΦϯϓϨϛε΍Ϋϥ΢υͷΠϯϑϥ্ͰͷCI/ CDɾςετࣗಈԽϓϥοτϑΥʔϜߏங ࣗಈςετઓུͷࡦఆ ࣗಈςετج൫ͷπʔϧબఆ΍؀ڥߏஙɺӡ༻ ࣗಈςετͷར༻ଅਐ΍εΫϦϓτ࡞੒ٕज़ͷܒ໤ ࣗಈςετج൫ͷπʔϧબఆ΍ ؀ڥߏஙɺӡ༻ ࣗಈςετج൫ͷπʔϧબఆ΍ ؀ڥߏஙɺӡ༻ ࣗಈςετεΫϦϓτͷ࡞੒ɾ อक
25. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετʹؔ࿈͢Δۀ຿΁ͷؔΘΓํʢࣄྫʣ Xࣾ Yࣾ Zࣾ ࣗಈςετઓུͷࡦఆ ࣗಈςετΤϯδχΞͱ ։ൃϓϥοτϑΥʔϜͷ։ൃऀͷ ߹ٞ ࣗಈςετΤϯδχΞ ςελʔͱ ࣗಈςετΤϯδχΞͷ߹ٞ ࣗಈςετج൫ͷπʔϧ બఆ΍؀ڥߏஙɺӡ༻ ։ൃϓϥοτϑΥʔϜͷ։ൃऀ ࣗಈςετΤϯδχΞ ࣗಈςετΤϯδχΞͱ ։ൃϓϥοτϑΥʔϜͷ։ൃऀ ࣗಈςετͷར༻ଅਐ΍ εΫϦϓτ࡞੒ٕज़ͷܒ໤ ࣗಈςετΤϯδχΞ ࣗಈςετΤϯδχΞ ࣗಈςετΤϯδχΞ ࣗಈςετεΫϦϓτͷ ࡞੒ɾอक ϓϩμΫτͷ։ൃऀ ࣗಈςετΤϯδχΞͱςελ ʔ ࣗಈςετΤϯδχΞͱςελ ʔͱϓϩμΫτͷ։ൃऀ
26. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ৬छ͝ͱͷࣗಈςετ΁ͷؔΘΓํ ▸ ࣗಈςετʹؔ͢Δ৬छͷۀ຿ൣғ͕֤ࣾͰҟͳ͍ͬͯΔ ▸ ࣗಈςετΤϯδχΞ͚͕͓ͩ͜ͳ͏ۀ຿ͱͯ͠͸ɺʮࣗಈςετͷར༻ଅਐ΍εΫ Ϧϓτ࡞੒ٕज़ͷܒ໤ʯ͘Β͍Ͱɺଞͷࣗಈςετʹؔ͢Δۀ຿͸ςελʔ΍։ൃऀ ͕ؔΘΔ͜ͱ͕ଟ͍ɻ͜ΕΒ͸૊৫΍ঢ়گͳͲʹΑͬͯมԽ͠ҟͳΔ
27. ࣗಈςετͷ͜Ε͔Β
28. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετͷॏཁੑͱࣗಈςετΤϯδχΞͷ͜Ε͔Β ▸ ΞδϟΠϧ։ൃ΍Ϋϥ΢υٕज़ͷਐԽͷঢ়گ͸5೥ఔ౓Ͱ͸มԽ͠ͳ͍ͨΊɺࣗಈςετɾςετࣗಈԽͷॏཁੑ͸͠͹ Β͘ଓ͘ͱࢥΘΕΔ ▸ Ұํɺ৬छͱͯ͠ͷࣗಈςετɾςετࣗಈԽͷઐ໳৬ͷঢ়گ͸มԽ͢Δͱߟ͍͑ͯ·͢ɻGoogleͰͷൃలతղফ΍ࣗಈ ςετͷҰൠԽ͕ਐΉ͜ͱΛߟ͑Δͱɺࠓͷࠃ಺Ͱͷੵۃతͳ৬छΛԡ͠ग़ͨ͠࠾༻͸গͳ͘ͳΓɺগͳ͍ืूʹͳͬͯ ͍͘Ͱ͠ΐ͏ɻMSͷSDETͷΑ͏ʹɺࣗࣾ಺Ͱࣗಈςετͷٕज़։ൃΛ͓͜ͳ͏اۀͰͷΈ࠾༻͸ଓ͘ͷͰ͸ͳ͍͔ͱਪ ଌ͠·͢ɻ ▸ ҰൠతͳϨϕϧͰͷɺࣗಈԽ͢Δπʔϧ։ൃ͸։ൃϓϥοτϑΥʔϜͳͲͷ։ൃऀʹٵऩ͞Εɺςετ࡞੒͸ςε λʔ΍։ൃऀʹٵऩ͞ΕΔͱߟ͍͑ͯ·͢ɻ։ൃϓϩηεʹ͓͚Δࣗಈςετͷ͓࡞๏΋Ұൠతͳ΋ͷʹͳΓɺࣗಈ ςετΤϯδχΞʹΑΔٕज़ܒ໤ͳͲ͸ͳ͘ͳΔͰ͠ΐ͏
29. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετͷٕज़ͷਐԽʢ̍ʣ ▸ ςετܭը΍ςετ෼ੳɺςετ׬ྃͷࣗಈԽ͸ࠓޙ΋ͦ͜·ͰมΘΒͳ͍ͱߟ͑Δ ▸ ςετ׬ྃͷΈɺςετͷϞχλϦϯάͱίϯτϩʔϧͱաڈͷςετ׬ྃ൑அ৘ใ͔Β൒ࣗಈԽ͘Β͍·Ͱ͸ਐ Ή͔΋ ▸ ػೳςετͷࣗಈ࣮ߦܥͷٕज़͸͓ͦΒ͘ࠓޙͦΜͳʹมΘΒͳ͍ ▸ ϓϩάϥϛϯάݴޠ΍ΠϯϑϥͷίʔυදݱͳͲͷมԽʹ൐͏มԽ͸౰વ͋Δ͕ɺදݱͷมԽͱଟগͷվળ͸͋Δ ▸ ηΩϡςΟςετͷࣗಈ࣮ߦܥ͸ɺܭࢉػೳྗͷ֦େͱػցֶशͳͲͷਐԽʹΑΓɺ੬ऑੑͷ͞ΒͳΔࢦఠ֦େ͸ਐΉ ▸ ৽ͨͳ੬ऑੑͷࢦఠͳͲɺ੬ऑੑʹؔͯ͠͸ࣗಈతʹൃݟͯ͠ཉ͍͠ཁٻϨϕϧ͕ࠓޙߴ·ΔͨΊπʔϧͷ੔උ͸ ਐΉ
30. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࣗಈςετͷٕज़ͷਐԽʢ̎ʣ ▸ ςετઃܭͷࣗಈԽͱͯ͠ɺҰ෦Ͱ͸ϓϩύςΟϕʔεςετ͕ར༻͞Ε͍ͯ͘ ▸ ςετ࣮૷͸ੜ੒AIʹΑΔهड़ੜ੒ͷਫ਼౓΍ྔ͸૿͍͑ͯ͘ ▸ ੜ੒AIͷՄೳੑ ▸ ੜ੒AIͷٕज़Λར༻ͯ͠ɺࣗવݴޠͰॻ͔Εͨ࢓༷ॻ΍ཁٻ͔ΒࣗಈతʹςετέʔεΛੜ੒͢ΔπʔϧͳͲ͕ੜ·Ε͍ͯΔ ▸ Autify Genesis ▸ ੲ͔Βɺ࢓༷ॻ΍ཁٻ͔ΒςετέʔεΛੜ੒͢Δٕज़͸ݚڀ։ൃ͞Ε͍ͯΔ͕ɺࠓճ͸ఆண͢Δ͔ ▸ Ұൠతͳ࢓༷ॻ΍ཁٻͳͲͷඇߏ଄Խσʔλ͔Β৘ใΛநग़͠ɺςετઃܭΛΞγετ͢Δϓϩϯϓτ͕ࠓޙ֤૊৫Ͱੜ·Ε ΔͷͰ͸ͳ͍͔
31. ࠷ޙʹ
32. ࣗಈςετͷݱࡏͱ͜Ε͔Β @2024೥౓SQiPݚڀձ ಛผߨٛ ࠓ೔ͷ࿩ ▸ ࣗಈςετɾςετࣗಈԽʹ·ͭΘΔҎԼͷ఺Λɺࢲݟࠞ͡ΓͰ঺հ͠·ͨ͠ ▸ ࣗಈςετͷॏཁੑͷมભͱ஫໨ͷߴ·Γ ▸ ࣗಈςετͷଟ༷ੑ ▸ ৬छ͝ͱͷࣗಈςετ΁ͷؔΘΓํ ▸ ࣗಈςετͷ͜Ε͔Β ▸ ιϑτ΢ΣΞ։ൃͷதͰɺࣗಈςετɾςετࣗಈԽ͸ͳ͘ͳΒͳ͍ۀ຿Ͱ͢ ▸ ҰํͰɺϝϦοτɾσϝϦοτΛߟ͓͑ͯ͜ͳ͏ۀ຿Ͱ͢ɻ্खʹ෇͖߹͖ͬͯ·͠ΐ͏