To reduce human efforts and burden on human intelligence in software-engineering activities, Artificial Intelligence (AI) techniques have been employed to assist or automate these activities. On the other hand, human's domain knowledge can serve as starting points for designing AI techniques. Furthermore, the results of AI techniques are often interpreted or verified by human users. Such user feedback could be incorporated to further improve the AI techniques, forming a continuous feedback loop. We recently proposed cooperative testing and analysis including human-tool cooperation (consisting of human-assisted computing and human-centric computing) and human-human cooperation. In this paper, we present example software-engineering problems with solutions that leverage the synergy of human and artificial intelligence, and illustrate how cooperative testing and analysis can help realize such synergy.