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チーム開発と機械学習
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mei28
November 11, 2022
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チーム開発と機械学習
主専攻実験でのスライド
mei28
November 11, 2022
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Transcript
༶໌ ػցֶशͱνʔϜ։ൃ!ओઐ߈࣮ݧ
໊લɿ༶໌ ॴଐɿഅݚڀࣨ% ,BHHMF&YQFSU NFJ νʔϜ։ൃνϣοτσΩϧ ҰݴɿϝμϧͱΓ·͠ΐ͏ʂ Θͨͩ͠Ε͔ʁ
͓͠ͳ͕͖ νʔϜ։ൃํ๏ ػցֶश5JQT
νʔϜ։ൃ
νʔϜ։ൃํ๏ʹ໌֬ͳ͑ͳ͍ νʔϜ։ൃͷதͰɼ·ͬͨ͘ಉ͡Α͏ʹ ։ൃ͢ΔνʔϜগͳ͍ɽ ˠνʔϜͦΕͧΕʹ͋ͬͨΓํ͕͋ΔͷͰɼ ࠓճҰൠతͳνʔϜ։ൃख๏ʹ͍ͭͯઆ໌͍ͯ͘͠ɽ
σʔλੳίϯϖͷྲྀΕ͔ΒࠔΛݟ͚ͭΔ &%" લॲཧ ֶश ޙॲཧ νʔϜͰόϥόϥʹ࡞ۀ͢Δͱɼ ࠓ୭͕ɼԿΛɼԿͷͨΊʹ࡞ۀ͍ͯ͠Δ͔Θ͔Βͳ͘ͳΔ •
ग़Γ͕ൃੜ͢Δͱ࣌ؒͷແବ
୲࡞ۀͱใڞ༗ ݸਓɾνʔϜ࡞ۀͱใڞ༗ΛͲ͏͢Δ͔͕·͍͠ɽ ղܾࡦͱͯ͠ɼ ΞδϟΠϧ։ൃͱݺΕΔํ๏͕࠷ۙͰओྲྀ ιϑτΣΞ։ൃͰͷΞδϟΠϧΛ౿·͑ɼ ࣗͩͬͨΒͲ͏σʔλੳʹঢ՚͢Δ͔Λઆ໌͢Δɽ
ҰൠతͳΞδϟΠϧ։ൃ େ͖̏ͭ͘ͷεςοϓ ΠςϨʔγϣϯ Ͱߏங͞Εɼ ͜ΕΛ͙Δ͙Δճ͢ ҙࢥܾఆ ࡞ۀ ใڞ༗
֤εςοϓͰͳʹΛߟ͑Δͷ ҙࢥܾఆ • ԿΛ͢Δ͔ʁ • Կ͕త͔ʁ • ԿΛ༏ઌ͢Δ͔ ࡞ۀ
• ݸผ࡞ۀ • Ϟϒ࡞ۀ Ϟϒ࡞ۀࠓճઆ໌͠ͳ͍ ࢀߟࢿྉΛΈͯ΄͍͠ ใڞ༗ • Կ͕Ͱ͖͔ͨʁ • Կ͕ࠔ͔ • Կ͕ಘΒΕ͔ͨ
σʔλੳίϯϖͩͬͨΒͲ͏ͳͷ cҙࢥܾఆ &%"ͰԿʹ͍ͭͯΈΔͷ͔ʁ%JTDVTTJPOʁ wԿ͕ಘΒΕΔ͔·Ͱ૾Ͱ͖Δͱ(PPE ϞσϧΛ͜͜·Ͱಈ࡞͢ΔΑ͏ʹ࣮ wᘳͰͳ͍͍ͯ͘ ͜ͷΠςϨʔγϣϯͰͲ͜·Ͱߦ͔͘ΛܾΊΔ ҙࢥܾఆ ͳʹΛΔ͔Λνέοτͱͯ͠ॻ͖ग़͢
ॻ͖ग़ͨ͠νέοτΛ༏ઌॱҐΛ͚ͭΔ ࡞ۀ(0
*TTVFͰཧɼ୲ऀͷΞαΠϯɼٞ͢Δ • (JU)VCJTTVFͷػೳΛ͏ͱָ͔ʢ5SFMMPͱ͔͋Δʣ
*TTVFͰཧɼ୲ऀͷΞαΠϯɼٞ͢Δ • *TTVF͝ͱʹٞɼ࿈བྷऔ ΕΔ͔ΒهΛશһͰڞ༗ ͍͢͠ • ࣗ-BCFMΛ͍༏ઌ ܾఆɼ"TTJHOΛͬͯ୲ ऀͷՄࢹԽΛ͍ͯͨ͠ɽ
σʔλੳίϯϖͩͬͨΒͲ͏ͳͷ c࡞ۀ νέοτʹج͍ͮͯ࡞ۀ ݸผʹ࡞ۀͯ͠ϞϒͰ࡞ۀͯ͠ྑ͍ ͦΕͧΕʹ͍ͭͯࢀߟࢿྉ<>Λࢀর͞Ε͍ͨ ࡞ۀ νʔϜ͔ͩΒɼ͙͢ʹνʔϜϝΠτ PS5" ʹ࣭
ཱͪࢭ·͍ͬͯΔ͕࣌ؒମແ͍ɽ͜͏͍͏࣌ͷνʔϜϝΠτ ͩΒͩΒΒͣɼ࣌ؒΛܾΊͯ࡞ۀ ͱ͔ ͕࣌ؒऴΘΓ࣍ୈใڞ༗(0 <>IUUQTTQFBLFSEFDLDPNLJOENBQMFNPCVQVSPUVUF
σʔλੳίϯϖͩͬͨΒͲ͏ͳͷ cใڞ༗ ߦͬͨ࡞ۀʹ͍ͭͯใࠂ͍ͯ͘͠ w Ͳ͜·Ͱ࡞ۀ͕ਐΜ͔ͩ w Ͳ͏͍͏ݟΛಘΒΕ͔ͨʁ w
ͲΜͳࠔ͕͔͋ͬͨʁ ҙࢥܾఆɼ࡞ۀʹ͍ͭͯৼΓฦΔ w ༏ઌॱҐ͜ΕͰ͍͍ͷ͔ʁ w ݟੵΓ͜ΕͰ͍͍ͷ͔ʁ ใڞ༗ ऴΘͬͨΒҙࢥܾఆʹ(0
·ͱΊcݶΒΕͨ࣌ؒͰͨ͘͞Μࢼߦࡨޡ͢Δ͠ ΠςϨʔγϣϯΛͨ͘͞Μճͯ͠ɼػහʹରԠ͢Δ νʔϜͳΜ͔ͩΒνʔϜϝΠτΛͨ͘͞ΜཔΖ͏ 5"ͷೋਓͱͯ༏लͳͷͰࢭ·ͬͨΒཔΖ͏ ҙࢥܾఆ ࡞ۀ ใڞ༗
̎ɽػցֶश5JQT
ݫબͨ͠ࠓճݴ͍͍ͨ͜ͱ̎બɿ࠶ݱੑ ύΠϓϥΠϯΛ࡞Δ $SPTT7BMJEBUJPOΛ͖ͪΜͱઃఆ͢Δ
͍·͙͢JQZOCΛࣺͯΖʢաܹʣ ,BHHMFݚڀʹ͓͍ͯ࠶ݱੑͷ֬อͱͯେࣄ ࠶ݱੑ͕֬อ͞Ε͍ͯͳ͍ͱɼൺֱ͕Ͱ͖ͳ͍ ʮൺֱͰ͖ͳ͍͜ͱͬͯɼ͍ͬͯΔҙຯ͋Δʁʯͱ ى͖͔Ͷͳ͍ɽ ࠶ݱੑ͕֬อͰ͖ͳ͍ݪҼͷҰͭͱͯ͠ίʔυཧ͕͋Δ
ΈΜͳಉ͡Α͏ʹ࠶ݱͰ͖Δڥͮ͘Γ ੜσʔλ ಛྔ ༧ଌ݁Ռ wલॲཧ wಛྔੜ wֶश wޙॲཧ ίʔυΛ͏·ׂͯ͘͠ɼ͚ͬͭ͘Εಈ࡞͢ΔΑ͏ʹ͢Δ
ޙ͔Β࠶ར༻͍͢͠ܗΛҙࣝ͢Δ
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ϦʔμʔϘʔυ͚ͩʹཔΒͳ͍ɿ5SVTU$7 ࠷ऴධՁ1SJWBUFͷϦʔμʔϘʔυ͔ͩΒɼ 1VCMJDͷϦʔμʔϘʔυΛશʹ৴པ͍͚ͯ͠ͳ͍ 1VCMJD-#͕ྑͯ͘ɼσʔλʹաֶश͕൱ఆͰ͖ͳ͍ αϒϛοτճʹ੍ݶ͕͋Δ ˠखݩͰϞσϧΛධՁ͢Δମ੍Λ͑Δ
ྑ͍$7ϞσϧͷධՁͱ-#ͷείΞ͕ൺྫ ܇࿅σʔλͷҰ෦ΛΓग़͢ ,'PMEΛ ͞Βʹ֦ுͯ͠Oݸʹσʔλׂͯ͠ੑೳධՁΛߦ͏ɽ ˠ,'PMEΑΓଟ͍ݕূσʔλͰੑೳධՁ͕Ͱ͖Δ ࣮ࡍ(SPVOE.BTUFSͷਓྑ͍$7ʹͳΔ·Ͱ$7Λ ݟ͙͢Β͍ྑ͍$7ॏཁ
ಛʹ࣌ܥྻσʔλʹ͓͍ͯ$7ΛϛεΔͱաֶश͢Δʜ IUUQTNFEJVNDPNLBHHMFCMPHQSP fi MJOHUPQLBHHMFSTCFTU fi UUJOHDVSSFOUMZJOUIFXPSMEDDFC
Ͳͷ$7ઓུΛબ͢Δ͔ೳྗ $7ઓུࣗମͨ͘͞Μ͋Γɼ λεΫʹΑͬͯྑ͍બ͕ඞཁ ࠷ॳ%JTDVTTJPO,FSOFMΛړͬͯϚω͢Δͷ͕٢ V ͞Μͷਆࢿྉ͋ΔͷͰɼࢼ͠ʹม͑ͯΈΔͷྑ͍ ɹIUUQTVQVSBIBUFOBCMPHDPNFOUSZ
ऴΘΓʹ ͍͔͔Ͱ͔ͨ͠ʁࠓճνʔϜ։ൃͱػցֶशʹ͍ͭͯ؆୯ʹ ·ͱΊͯΈ·ͨ͠ɽ͜ͷεϥΠυ͕ࢀߟʹͳͬͨΒخ͍͠Ͱ͢ɽ ͱΓ͋͑ͣݴ͍͍ͨ͜ͱɼ ଞਓΛཔΔ 5"͏ ͳʹ͔࣭ͳͲ͕͋ͬͨΒؾܰʹ͍͛ͯͩ͘͞
ˠUXJUUFS!@NFJ@
ࢀߟࢿྉ
FO1J5νʔϜϝΠτͷϞϒϓϩʹؔ͢Δ·ͱΊ ɹIUUQTTQFBLFSEFDLDPNLJOENBQMFNPCVQVSPUVUF /ZL͞ΜͷύΠϓϥΠϯ࡞Γʢ:PVUVCF ެ։ίʔυ͖ʣ ɹIUUQTXXXHVSVHVSVTDJFODFDPNQFUJUJPOT DBUMB͘Μͷ༏উϦϙδτϦߏͱύΠϓϥΠϯ ɹIUUQTHJUIVCDPNLBUTVSBKQBMDPO V ͞Μͷ$SPTT7BMJEBUJPO·ͱΊ ɹIUUQTVQVSBIBUFOBCMPHDPNFOUSZ
ϦϯΫू
FO1J5ͷडߨੜ͔ͭ 5"͕ॻ͍ͨ͋Γ͕͍ͨࢿྉ モブで作業するタスク・そうでないタスク 種類 特徴 例 モブ向 • 不確実性
高い • フロー効率を上 たい • 属人化を防ぎたい • 解決方法 不明瞭で 探り探り実装するIssue • マニュアルの英語化作業 • モジュール引 継 や 新人教育 分担作業向 • やる と 決まっている • リソース効率を上 たい • 動画データの整理分類 • 目的の決まっている 文献調査 • 熟知している人による バグ修正など <>IUUQTTQFBLFSEFDLDPNLJOENBQMFNPCVQVSPUVUF