AI-driven Harmony transformation, development efficiency improved by 35%, functional coverage 97%
Solution
For a certain e-commerce app Harmony transformation, stage 1 uses AI to complete in-depth source code scanning, outputting API difference lists and technical risk reports; stage 2 generates detailed workload estimation and task decomposition lists; stage 3 initiates AI automatic transcoding, generating about 65% of Harmony code, and marking 35% of intervention points that require manual processing (priority classification).
Development engineers complete the remaining code according to processing principles, and use AI-assisted unit test generation and bug location suggestions.
Stage 4 executes AI-driven quality inspection, including static scanning, UI screenshot comparison, performance baseline testing (cold start time reduced to 1.1x of Android version, memory usage 1.2x, crash rate 0.05%).
Implementation Results
Total project cycle shortened from estimated 5 months to 3.2 months, development efficiency improved by 35%.
The final delivered functional coverage rate reached 97%, all performance indicators exceeded the four-dimensional acceptance standards, and passed the Huawei App Market review in one go.
Customer app market rating 4.8 points, user activity increased by 22%.
Customer Testimonial
"The code quality automatically generated by AI is very high, and the intervention points are clearly marked, greatly improving the efficiency of Harmony transformation, and laying a solid foundation for subsequent iterations."