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OutSystems

Industry researcheurope · pt
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Selected work

Representative Papers

Improving the Developer Experience with a Low-Code Process Modelling Language

Aug 08, 2025

OutSystems’ Business Process Technology (BPT) language suffers from low adoption and high maintenance costs due to opaque semantics and counterintuitive operations. To optimize the low-code developer experience, this work proposes a language refactoring methodology that integrates principles of “symbolic physics” with engineering practice feedback, and—novelty—systematically embeds quantified user experience metrics (System Usability Scale, SUS; NASA Task Load Index, TLX) into the process language design loop. Through interview analysis, symbolic specification review, and empirical evaluation with 25 professional engineers, the revised language achieves a 38-percentage-point increase in semantic transparency (31% → 69%), a 38-percentage-point improvement in task response accuracy (51% → 89%), a statistically significant rise in SUS scores, and a marked reduction in TLX-measured cognitive load. This study establishes a reusable, user-experience-driven paradigm for designing low-code process languages.

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Latest Papers

Improving the Developer Experience with a Low-Code Process Modelling Language

Aug 08, 2025

OutSystems’ Business Process Technology (BPT) language suffers from low adoption and high maintenance costs due to opaque semantics and counterintuitive operations. To optimize the low-code developer experience, this work proposes a language refactoring methodology that integrates principles of “symbolic physics” with engineering practice feedback, and—novelty—systematically embeds quantified user experience metrics (System Usability Scale, SUS; NASA Task Load Index, TLX) into the process language design loop. Through interview analysis, symbolic specification review, and empirical evaluation with 25 professional engineers, the revised language achieves a 38-percentage-point increase in semantic transparency (31% → 69%), a 38-percentage-point improvement in task response accuracy (51% → 89%), a statistically significant rise in SUS scores, and a marked reduction in TLX-measured cognitive load. This study establishes a reusable, user-experience-driven paradigm for designing low-code process languages.

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