To　reasonably　guide　and　promote　the　high-quality　development　of　China＇s　software　industry　through　policies,　and　to　improve　the　total　factor　productivity　(TFP)　of　China＇s　software　industry　are　the　inevitable　requirements　of　the　conjunctive　development.　Previous　research　mainly　used　econometric　methods　to　explore　the　impact　of　specific　variables　or　factors　in　different　regions　on　the　TFP　of　the　software　industry.　Here　we　provide　a　solution　for　the　path　selection　to　improve　the　TFP　of　the　software　industry.　The　DEA-Malmquist　index　analysis　method　to　measure　the　TFP　of　the　software　industry　and　the　fuzzy　set　qualitative　comparative　analysis　method　(fsQCA)　are　adopted　to　explore　the　different　promotion　paths　of　provinces　based　on　the　relevant　data　of　29　provinces　in　China.　The　results　show　that　5　path　configurations　achieve　high　TFP.　Specifically,　regions　with　high　TFP　in　the　software　industry　tend　to　be　those　with　high　enterprise　scale,　high　R&D　investment,　and　high　R&D　personnel　investment.　When　the　scale　of　enterprises　is　high,　the　region　should　fully　consider　the　degree　of　R&D　investment　and　the　degree　of　higher　education.　When　the　investment　of　R&D　personnel　is　high,　the　high　education　level　of　human　factors　and　the　investment　intensity　of　fixed　assets　of　capital　factors　should　be　brought　into　full　play.　When　the　investment　in　fixed　assets　and　R&D　investment　are　high,　the　region　should　fully　consider　the　investment　of　R&D　personnel　and　the　scale　of　the　enterprise.